IEEE INFOCOM 2023
ML Security
Mixup Training for Generative Models to Defend Membership Inference Attacks
Zhe Ji, Qiansiqi Hu and Liyao Xiang (Shanghai Jiao Tong University, China); Chenghu Zhou (Chinese Academy of Sciences, China)
Speaker
Spotting Deep Neural Network Vulnerabilities in Mobile Traffic Forecasting with an Explainable AI Lens
Serly Moghadas (IMDEA Networks, Spain); Claudio Fiandrino and Alan Collet (IMDEA Networks Institute, Spain); Giulia Attanasio (IMDEA Networks, Spain); Marco Fiore and Joerg Widmer (IMDEA Networks Institute, Spain)
to adversarial attacks which undermine their applicability in production networks. In this paper, we conduct a first in-depth study of the vulnerabilities of DNNs for large-scale mobile traffic forecasting. We propose DeExp, a new tool that leverages EXplainable Artificial Intelligence (XAI) to understand which Base Stations (BSs) are more influential for forecasting from a spatio-temporal perspective. This is challenging as existing XAI techniques are usually applied to computer vision or natural language processing and need to be adapted to the mobile network context. Upon identifying the more influential BSs, we run state-of-the art Adversarial Machine Learning (AML) techniques on those BSs and measure the accuracy degradation of the predictors. Extensive evaluations with real-world mobile traffic traces pinpoint that attacking BSs relevant to the predictor significantly degrades its accuracy across all the scenarios.
Speaker
FeatureSpy: Detecting Learning-Content Attacks via Feature Inspection in Secure Deduplicated Storage
Jingwei Li (University of Electronic Science and Technology of China, China); Yanjing Ren and Patrick Pak-Ching Lee (The Chinese University of Hong Kong, Hong Kong); Yuyu Wang (University of Electronic Science and Technology of China, China); Ting Chen (University of Electronic Science and Technology of China (UESTC), China); Xiaosong Zhang (University of Electronic Science and Technology of China, China)
Speaker
Fast Generation-Based Gradient Leakage Attacks against Highly Compressed Gradients
Dongyun Xue, Haomiao Yang, Mengyu Ge and Jingwei Li (University of Electronic Science and Technology of China, China); Guowen Xu (Nanyang Technological University, Singapore); Hongwei Li (University of Electronic Science and Technology of China, China)
Speaker
Session Chair
Qiben Yan
PHY Networking
Transfer Beamforming via Beamforming for Transfer
Xueyuan Yang, Zhenlin An and Xiaopeng Zhao (The Hong Kong Polytechnic University, Hong Kong); Lei Yang (The Hong Kong Polytechnic University, China)
Speaker
Prism: High-throughput LoRa Backscatter with Non-linear Chirps
Yidong Ren and Puyu Cai (Michigan State University, USA); Jinyan Jiang and Jialuo Du (Tsinghua University, China); Zhichao Cao (Michigan State University, USA)
Speaker
CSI-StripeFormer: Exploiting Stripe Features for CSI Compression in Massive MIMO System
Qingyong Hu (Hong Kong University of Science and Technology, Hong Kong); Hua Kang (HKUST, Hong Kong); Huangxun Chen (Huawei, Hong Kong); Qianyi Huang (Southern University of Science and Technology & Peng Cheng Laboratory, China); Qian Zhang (Hong Kong University of Science and Technology, Hong Kong); Min Cheng (Noah's Ark Lab, Huawei, Hong Kong)
Speaker
RIS-STAR: RIS-based Spatio-Temporal Channel Hardening for Single-Antenna Receivers
Sara Garcia Sanchez and Kubra Alemdar (Northeastern University, USA); Vini Chaudhary (Northeastern University, Boston, MA, US, USA); Kaushik Chowdhury (Northeastern University, USA)
Speaker
Session Chair
Loukas Lazos
Wireless Charging
Utilizing the Neglected Back Lobe for Mobile Charging
Meixuan Ren, Dié Wu and Jing Xue (Sichuan Normal University, China); Wenzheng Xu and Jian Peng (Sichuan University, China); Tang Liu (Sichuan Normal University, China)
Speaker
Concurrent Charging with Wave Interference
Yuzhuo Ma, Dié Wu and Meixuan Ren (Sichuan Normal University, China); Jian Peng (Sichuan University, China); Jilin Yang and Tang Liu (Sichuan Normal University, China)
Speaker
Roland: Robust In-band Parallel Communication for Magnetic MIMO Wireless Power Transfer System
Wangqiu Zhou, Hao Zhou, Xiang Cui and Xinyu Wang (University of Science and Technology of China, China); Xiaoyan Wang (Ibaraki University, Japan); Zhi Liu (The University of Electro-Communications, Japan)
Speaker
Charging Dynamic Sensors through Online Learning
Yu Sun, Chi Lin, Wei Yang, Jiankang Ren, Lei Wang, Guowei WU and Qiang Zhang (Dalian University of Technology, China)
Speaker
Edge Computing 1
Adversarial Group Linear Bandits and Its Application to Collaborative Edge Inference
Yin Huang, Letian Zhang and Jie Xu (University of Miami, USA)
Speaker
Online Container Scheduling for Data-intensive Applications in Serverless Edge Computing
Xiaojun Shang, Yingling Mao and Yu Liu (Stony Brook University, USA); Yaodong Huang (Shenzhen University, China); Zhenhua Liu and Yuanyuan Yang (Stony Brook University, USA)
Speaker
Dynamic Edge-centric Resource Provisioning for Online and Offline Services Co-location
Tao Ouyang, Kongyange Zhao, Xiaoxi Zhang, Zhi Zhou and Xu Chen (Sun Yat-sen University, China)
Speaker
TapFinger: Task Placement and Fine-Grained Resource Allocation for Edge Machine Learning
Yihong Li (Sun Yat-sen University, China); Tianyu Zeng (Sun Yat-Sen University, China); Xiaoxi Zhang (Sun Yat-sen University, China); Jingpu Duan (Peng Cheng Laboratory, China); Chuan Wu (The University of Hong Kong, Hong Kong)
Speaker
Session Chair
Xiaonan Zhang
ML Applications
Ant Colony based Online Learning Algorithm for Service Function Chain Deployment
Yingling Mao, Xiaojun Shang and Yuanyuan Yang (Stony Brook University, USA)
Speaker
AutoManager: a Meta-Learning Model for Network Management from Intertwined Forecasts
Alan Collet and Antonio Bazco Nogueras (IMDEA Networks Institute, Spain); Albert Banchs (Universidad Carlos III de Madrid, Spain); Marco Fiore (IMDEA Networks Institute, Spain)
Speaker
Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks
Tung Anh Nguyen, Jiayu He, Long Tan Le, Wei Bao and Nguyen H. Tran (The University of Sydney, Australia)
Speaker
QueuePilot: Reviving Small Buffers With a Learned AQM Policy
Micha Dery, Orr Krupnik and Isaac Keslassy (Technion, Israel)
We introduce QueuePilot, an RL (reinforcement learning)-based AQM that enables small buffers in backbone routers, trading off high utilization with low loss rate and short delay. QueuePilot automatically tunes the ECN (early congestion notification) marking probability. After training once offline with a variety of settings, QueuePilot produces a single lightweight policy that can be applied online without further learning. We evaluate QueuePilot on real networks with hundreds of TCP connections, and show how it provides a performance in small buffers that exceeds that of existing algorithms, and even exceeds their performance with larger buffers.
Speaker
Session Chair
Baochun Li (University of Toronto)
Distributed Learning
Matching DNN Compression and Cooperative Training with Resources and Data Availability
Francesco Malandrino (CNR-IEIIT, Italy); Giuseppe Di Giacomo (Politecnico Di Torino, Italy); Armin Karamzade (University of California Irvine, USA); Marco Levorato (University of California, Irvine, USA); Carla Fabiana Chiasserini (Politecnico di Torino & CNIT, IEIIT-CNR, Italy)
Speaker
On the Limit Performance of Floating Gossip
Gianluca Rizzo (HES SO Valais, Switzerland & Universita' di Foggia, Italy); Noelia Perez Palma (University of Murcia & University Carlos III, Spain); Vincenzo Mancuso and Marco G Ajmone Marsan (IMDEA Networks Institute, Spain)
We consider dynamic scenarios where continuous learning is required, and we adopt a mean field approach to investigate the limit performance of FG in terms of amount of data that users can incorporate into their models, as a function of the main system parameters. Differently from existing approaches in which either communication or computing aspects of GL are analyzed and optimized, our approach accounts for the compound impact of both aspects. We validate our results through detailed simulations, proving good accuracy. Our model shows that Floating Gossip can be very effective in implementing continuous training and update of machine learning models in a cooperative manner, and based on opportunistic exchanges among moving users.
Speaker
Communication-Aware DNN Pruning
Tong Jian, Debashri Roy, Batool Salehihikouei, Nasim Soltani, Kaushik Chowdhury and Stratis Ioannidis (Northeastern University, USA)
Speaker
OPA: One-Predict-All For Efficient Deployment
Junpeng Guo, Shengqing Xia and Chunyi Peng (Purdue University, USA)
Speaker
Session Chair
Christopher G. Brinton
TCP and Congestion Control
i-NVMe: Isolated NVMe over TCP for a Containerized Environment
Seongho Lee, Ikjun Yeom and Younghoon Kim (Sungkyunkwan University, Korea (South))
Speaker
Congestion Control Safety via Comparative Statics
Pratiksha Thaker (Carnegie Mellon University, USA); Tatsunori Hashimoto and Matei Zaharia (Stanford University, USA)
Speaker
Gemini: Divide-and-Conquer for Practical Learning-Based Internet Congestion Control
Wenzheng Yang and Yan Liu (Tencent, China); Chen Tian (Nanjing University, China); Junchen Jiang (University of Chicago, USA); Lingfeng Guo (The Chinese University of Hong Kong, Hong Kong)
Speaker Wenzheng Yang (Nanjing University and Tencent, China)
Marten: A Built-in Security DRL-Based Congestion Control Framework by Polishing the Expert
Zhiyuan Pan and Jianer Zhou (SUSTech, China); XinYi Qiu ( & Peng Cheng Laboratory, China); Weichao Li (Peng Cheng Laboratory, China); Heng Pan (Institute of Computing Technology, Chinese Academy of Sciences, China); Wei Zhang (The National Computer Network Emergency Response Technical Team Coordination Center of China, China)
Speaker
Session Chair
Ehab Al-Shaer
Coffee Break
Poster Session 2
Quantifying the Impact of Base Station Metrics on LTE Resource Block Prediction Accuracy
Darijo Raca (University of Sarajevo, Bosnia and Herzegovina); Jason J Quinlan, Ahmed H. Zahran and Cormac J. Sreenan (University College Cork, Ireland); Riten Gupta (Meta Platforms, Inc., USA); Abhishek Tiwari (Meta Platforms Inc., USA)
Speaker
Meta-material Sensors-enabled Internet of Things: Angular Range Extension
Taorui Liu (Peking University, China); Jingzhi Hu (Nanyang Technological University, Singapore); Hongliang Zhang and Lingyang Song (Peking University, China)
However, existing meta-IoT sensing systems are limited to normal or specular reflection, while in practical sensing scenarios such as smart home, intelligent industry, transportation, and agriculture, the receivers are often deployed on movable objects such as mobile phones, intelligent robots, and vehicles. Thus, the position of the receivers relative to the meta-IoT sensor array is generally dynamic within an angular range rather than at a particular angle, which is challenging as all units in existing meta-IoT sensors are assumed to be the same, resulting in an uncontrollable reflection direction. To address this challenge, we propose a design of a meta-IoT sensing system comprising meta-IoT sensors that can support transmitter deployment at any given angle and receiver deployment in an extended angular range.
Speaker
MatGAN: Sleep Posture Imaging using Millimeter-Wave Devices
Aakriti Adhikari, Sanjib Sur and Siri Avula (University of South Carolina, USA)
Speaker Aakriti Adhikari
Poster Abstract: Performance of Scalable Cell-Free Massive MIMO in Practical Network Topologies
Yunlu Xiao (RWTH Aachen University, Germany); Petri Mähönen (RWTH Aachen University, Germany & Aalto University, Finland); Ljiljana Simić (RWTH Aachen University, Germany)
Speaker Ljiljana Simić; Yunlu Xiao
Towards a Network Aware Model of the Time Uncertainty Bound in Precision Time Protocol
Yash Deshpande and Philip Diederich (Technical University of Munich, Germany); Wolfgang Kellerer (Technische Universität München, Germany)
Speaker
L7LB: High Performance Layer-7 Load Balancing on Heterogeneous Programmable Platforms
Xiaoyi Shi, Yifan Li, Chengjun Jia, Xiaohe Hu and Jun Li (Tsinghua University, China)
Speaker
Deep Learning enabled Keystroke Eavesdropping Attack over Videoconferencing Platforms
Xueyi Wang, Yifan Liu and Shan Cang Li, S. (Cardiff University, United Kingdom (Great Britain))
Speaker Xueyi Wang
Explaining AI-informed Network Intrusion Detection with Counterfactuals
Gang Liu and Jiang Meng (University of Notre Dame, USA)
Speaker Jiang Meng
Sum Computation Rate Maximization in Self-Sustainable RIS-Assisted MEC
Han Li (Beijing Jiaotong University, China); Ming Liu (Beijing Jiaotong University & Beijing Key Lab of Transportation Data Analysis and Mining, China); Bo Gao and Ke Xiong (Beijing Jiaotong University, China); Pingyi Fan (Tsinghua University, China); Khaled B. Letaief (The Hong Kong University of Science and Technology, Hong Kong)
Speaker
Tandem Attack: DDoS Attack on Microservices Auto-scaling Mechanisms
Anat Bremler-Barr (Tel-Aviv University, Israel); Michael Czeizler (Reichman University, Israel)
Speaker Michael Czeizler
Internet/Web Security
De-anonymization Attacks on Metaverse
Yan Meng, Yuxia Zhan, Jiachun Li, Suguo Du and Haojin Zhu (Shanghai Jiao Tong University, China); Sherman Shen (University of Waterloo, Canada)
Speaker
Secure Middlebox Channel over TLS and its Resiliency against Middlebox Compromise
Kentaro Kita, Junji Takemasa, Yuki Koizumi and Toru Hasegawa (Osaka University, Japan)
Speaker
ASTrack: Automatic detection and removal of web tracking code with minimal functionality loss
Ismael Castell-Uroz (Universitat Politècnica de Catalunya, Spain); Kensuke Fukuda (National Institute of Informatics, Japan); Pere Barlet-Ros (Universitat Politècnica de Catalunya, Spain)
Speaker
DisProTrack: Distributed Provenance Tracking over Serverless Applications
Utkalika Satapathy and Rishabh Thakur (Indian Institute of Technology Kharagpur, India); Subhrendu Chattopadhyay (Institute for Developemnt and Research in Banking Technologies, India); Sandip Chakraborty (Indian Institute of Technology Kharagpur, India)
Speaker
Session Chair
Ning Zhang
Scheduling
Target Coverage and Connectivity in Directional Wireless Sensor Networks
Tan D Lam and Dung Huynh (University of Texas at Dallas, USA)
Speaker
Eywa: A General Approach for Scheduler Design in AoI Optimization
Chengzhang Li, Shaoran Li, Qingyu Liu, Thomas Hou and Wenjing Lou (Virginia Tech, USA); Sastry Kompella (NEXCEPTA INC, USA)
Speaker
Dynamic Resource Allocation for Deep Learning Clusters with Separated Compute and Storage
Mingxia Li (University of Science and Technology of China, China); Zhenhua Han (Microsoft Research Asia, China); Chi Zhang (University of Science and Technology of China, China); Ruiting Zhou (Southeast University, China); Yuanchi Liu and Haisheng Tan (University of Science and Technology of China, China)
Speaker
LIBRA: Contention-Aware GPU Thread Allocation for Data Parallel Training in High Speed Networks
Yunzhuo Liu, Bo Jiang and Shizhen Zhao (Shanghai Jiao Tong University, China); Tao Lin (Communication University of China, China); Xinbing Wang (Shanghai Jiaotong University, China); Chenghu Zhou (Chinese Academy of Sciences, China)
Speaker Yunzhuo Liu (Shanghai Jiao Tong University)
Network Applications
Latency-First Smart Contract: Overclock the Blockchain for a while
Huayi Qi, Minghui Xu and Xiuzhen Cheng (Shandong University, China); Weifeng Lv (Beijing University of Aeronautics and Astronautics, China)
Speaker Huayi Qi (Shandong University)
Huayi Qi received his bachelor's degree in computer science from Shandong University in 2020. He is working toward a Ph.D. degree in the School of Computer Science and Technology, Shandong University, China. His research interests include blockchain privacy and security.
On Design and Performance of Offline Finding Network
Tong Li (Renmin University of China, China); Jiaxin Liang (Huawei Technologies, China); Yukuan Ding (Hong Kong University of Science and Technology, Hong Kong); Kai Zheng (Huawei Technologies, China); Xu Zhang (Nanjing University, China); Ke Xu (Tsinghua University, China)
experience in OFN is closely related to the success ratio (possibility) of finding the lost device, where the latency of the prerequisite stage, i.e., neighbor discovery, matters. However, the crowd-sourced finder devices show diversity in scan modes due to different power modes or different manufacturers, resulting in local optima of neighbor discovery performance. In this paper, we present a brand-new broadcast mode called ElastiCast to deal with the scan mode diversity issues. ElastiCast captures the key features of BLE neighbor discovery and globally optimizes the broadcast mode interacting with diverse scan modes. Experimental evaluation results and commercial product deployment experience demonstrate that ElastiCast is effective in achieving stable and bounded neighbor discovery latency within the power budget.
Speaker
WiseCam: Wisely Tuning Wireless Pan-Tilt Cameras for Cost-Effective Moving Object Tracking
Jinlong E (Renmin University of China, China); Lin He and Zhenhua Li (Tsinghua University, China); Yunhao Liu (Tsinghua University & The Hong Kong University of Science and Technology, China)
Speaker
Effectively Learning Moiré QR Code Decryption from Simulated Data
Yu Lu, Hao Pan, Guangtao Xue and Yi-Chao Chen (Shanghai Jiao Tong University, China); Jinghai He (University of California, Berkeley, China); Jiadi Yu (Shanghai Jiao Tong University, China); Feitong Tan (Simon Fraser University, Canada)
Speaker
Session Chair
Qinghua Li
Edge Computing 2
Dynamic Regret of Randomized Online Service Caching in Edge Computing
Siqi Fan and I-Hong Hou (Texas A&M University, USA); Van Sy Mai (National Institute of Standards and Technology, USA)
Speaker
SEM-O-RAN: Semantic and Flexible O-RAN Slicing for NextG Edge-Assisted Mobile Systems
Corrado Puligheddu (Politecnico di Torino, Italy); Jonathan Ashdown (United States Air Force, USA); Carla Fabiana Chiasserini (Politecnico di Torino & CNIT, IEIIT-CNR, Italy); Francesco Restuccia (Northeastern University, USA)
Speaker
Joint Task Offloading and Resource Allocation in Heterogeneous Edge Environments
Yu Liu, Yingling Mao, Zhenhua Liu, Fan Ye and Yuanyuan Yang (Stony Brook University, USA)
Speaker
Latency-Optimal Pyramid-based Joint Communication and Computation Scheduling for Distributed Edge Computing
Quan Chen and Kaijia Wang (Guangdong University of Technology, China); Song Guo (The Hong Kong Polytechnic University, Hong Kong); Tuo Shi (Tianjin University, China); Jing Li (The Hong Kong Polytechnic University, Hong Kong); Zhipeng Cai (Georgia State University, USA); Albert Zomaya (The University of Sydney, Australia)
Speaker
Session Chair
György Dán
Video and Web Applications
Owl: A Pre-and Post-processing Framework for Video Analytics in Low-light Surroundings
Rui-Xiao Zhang, Chaoyang Li, Chenglei Wu, Tianchi Huang and Lifeng Sun (Tsinghua University, China)
In this paper, we propose Owl, an intelligent framework to optimize the bandwidth utilization and inference accuracy for the low-light video analytic pipeline. The core idea of Owl is two-fold. On the one hand, we will deploy a light-weighted pre-processing module before transmission, through which we will get the denoised video and significantly reduce the transmitted data; on the other hand, we recover the information from the denoised video via a DNN-based enhancement module in the server-side. Specifically, through content-aware feature clustering and task-oriented fine-tuning, Owl can well coordinate the front-end and back-end, and intelligently determine the best denoise level and corresponding enhancement model for different videos. Experiments with a variety of datasets and tasks show that Owl achieves significant bandwidth benefits, while consistently optimizing the inference accuracy.
Speaker
AccDecoder: Accelerated Decoding for Neural-enhanced Video Analytics
Tingting Yuan (Georg-August-University of Göttingen, Germany); Liang Mi (Nanjing University, China); Weijun Wang (Nanjing University & University of Goettingen, China); Haipeng Dai (Nanjing University & State Key Laboratory for Novel Software Technology, China); Xiaoming Fu (University of Goettingen, Germany)
Speaker
Crow API: Cross-device I/O Sharing in Web Applications
Seonghoon Park and Jeho Lee (Yonsei University, Korea (South)); Hojung Cha (Yonsei University, S. Korea, Korea (South))
Speaker
Rebuffering but not Suffering: Exploring Continuous-Time Quantitative QoE by User's Exiting Behaviors
Sheng Cheng, Han Hu, Xinggong Zhang and Zongming Guo (Peking University, China)
Speaker Sheng Cheng (Peking University), Xinggong Zhang (Peking University)
Sheng Cheng received the bachelor's degree from Peking University, Beijing, China, in 2020. He is currently pursuing the M.S. degree from Wangxuan Institute of Computer Technology, Peking University.
His research interests lie in real-time video streaming, adaptive forward error correction for communication and video quality assessment. He is also interested in the application of Artificial Intelligence in network systems.
Xinggong Zhang (Senior Member, IEEE) received the Ph.D. degree from the Department of Computer Science, Peking University, Beijing, China, in 2011.
He is currently an Associate Professor at Wangxuan Institute of Computer Technology, Peking University. Before that, he was Senior Researcher at Founder Research and Development Center, Peking University from 1998 to 2007. He was a Visiting Scholar with the Polytechnic Institute of New York University from 2010 to 2011. His research interests lie in the modeling and optimization of multimedia networks, VR/AR/video streaming and satellite networks.
Session Chair
Shiwen Mao
Network Design and Fault Tolerance
Distributed Demand-aware Network Design using Bounded Square Root of Graphs
Or Peres (Ben Gurion University, Israel); Chen Avin (Ben-Gurion University of the Negev, Israel)
This paper draws a connection between the k-root of graphs and the network design problem and uses forests-decomposition of the demand as the primary methodology. In turn, we provide new algorithms for demand-aware network design, including cases where our algorithms are (order) optimal and improve previous results. In addition, we provide, for the first time and for the case of bounded arboricity, i) an efficient distributed algorithm for the CONGEST model and ii) an efficient and PRAM-based parallel algorithm. We also present empirical results on real-world demand matrices where our algorithms produce both low-degree, and low expected path length network designs.
Speaker
A Fast and Exact Evaluation Algorithm for the Expected Number of Connected Nodes: an Enhanced Network Reliability Measure
Kengo Nakamura (NTT Corporation & Kyoto University, Japan); Takeru Inoue (NTT Network Innovation Labs., Japan); Masaaki Nishino and Norihito Yasuda (NTT Comunication Science Laboratories, Japan); Shin-ichi Minato (Kyoto University, Japan)
This paper proposes an efficient method that exactly computes ECP. Our method performs dynamic programming just once without explicit repetition for each node pair and obtains an exact ECP value weighted by the number of users at each node. A thorough complexity analysis reveals that our method is faster than an existing reliability evaluation method, which can be transferred to ECP computation, by \(O(n)\). Numerical experiments using real topologies show great efficiency; e.g., our method computes the ECP of an 821-link network in ten seconds; the existing method cannot complete it in an hour. This paper also presents two applications: critical link identification and optimal resource (e.g., a server) placement.
Speaker
Network Slicing: Market Mechanism and Competitive Equilibria
Panagiotis Promponas and Leandros Tassiulas (Yale University, USA)
Speaker
Tomography-based Progressive Network Recovery and Critical Service Restoration after Massive Failures
Viviana Arrigoni, Matteo Prata and Novella Bartolini (Sapienza University of Rome, Italy)
Speaker
Conference Lunch
IoT
Enable Batteryless Flex-sensors via RFID Tags
Mengning Li (North Carolina State University, USA)
Speaker
TomoID: A Scalable Approach to Device Free Indoor Localization via RFID Tomography
Yang-Hsi Su and Jingliang Ren (University of Michigan, USA); Zi Qian (Tsinghua University, China); David Fouhey and Alanson Sample (University of Michigan, USA)
Speaker
Extracting Spatial Information of IoT Device Events for Smart Home Safety Monitoring
Yinxin Wan, Xuanli Lin, Kuai Xu, Feng Wang and Guoliang Xue (Arizona State University, USA)
Speaker
RT-BLE: Real-time Multi-Connection Scheduling for Bluetooth Low Energy
Yeming Li and Jiamei Lv (Zhejiang University, China); Borui Li (Southeast University, China); Wei Dong (Zhejiang University, China)
Speaker
Session Chair
Gianluca Rizzo
Wireless Systems
NFChain: A Practical Fingerprinting Scheme for NFC Tag Authentication
Yanni Yang (Shandong University, China); Jiannong Cao (Hong Kong Polytechnical University, Hong Kong); Zhenlin An (The Hong Kong Polytechnic University, Hong Kong); Yanwen Wang (Hunan University, China); Pengfei Hu and Guoming Zhang (Shandong University, China)
Speaker
ICARUS: Learning on IQ and Cycle Frequencies for Detecting Anomalous RF Underlay Signals
Debashri Roy (Northeastern University, USA); Vini Chaudhary (Northeastern University, Boston, MA, US, USA); Chinenye Tassie (Northeastern University, USA); Chad M Spooner (NorthWest Research Associates, USA); Kaushik Chowdhury (Northeastern University, USA)
Speaker
WSTrack: A Wi-Fi and Sound Fusion System for Device-free Human Tracking
Yichen Tian, Yunliang Wang, Ruikai Zheng, Xiulong Liu, Xinyu Tong and Keqiu Li (Tianjin University, China)
Speaker
SubScatter: Subcarrier-Level OFDM Backscatter
Jihong Yu (Beijing Institute of Technology, China); Caihui Du (Beijing Institute of Techology, China); Jiahao Liu (Beijing Institute of Technology, China); Rongrong Zhang (Capital Normal University, China); Shuai Wang (Beijing Institute of Technology, China)
Speaker
Session Chair
Alex Sprintson
Crowdsourcing
Multi-Objective Order Dispatch for Urban Crowd Sensing with For-Hire Vehicles
Jiahui Sun, Haiming Jin, Rong Ding and Guiyun Fan (Shanghai Jiao Tong University, China); Yifei Wei (Carnegie Mellon University, USA); Lu Su (Purdue University, USA)
Speaker Haiming Jin (Shanghai Jiao Tong University)
AoI-aware Incentive Mechanism for Mobile Crowdsensing using Stackelberg Game
Mingjun Xiao, Yin Xu and Jinrui Zhou (University of Science and Technology of China, China); Jie Wu (Temple University, USA); Sheng Zhang (Nanjing University, China); Jun Zheng (University of Science and Technology of China, China)
Speaker
Spatiotemporal Transformer for Data Inference and Long Prediction in Sparse Mobile CrowdSensing
En Wang, Weiting Liu and Wenbin Liu (Jilin University, China); Chaocan Xiang (Chongqing University, China); Bo Yang and Yongjian Yang (Jilin University, China)
Speaker
Crowd2: Multi-agent Bandit-based Dispatch for Video Analytics upon Crowdsourcing
Yu Chen, Sheng Zhang, Yuting Yan, Yibo Jin, Ning Chen and Mingtao Ji (Nanjing University, China); Mingjun Xiao (University of Science and Technology of China, China)
Speaker
Session Chair
Qinghua Li
Cross-technology Communications
Parallel Cross-technology Transmission from IEEE 802.11ax to Heterogeneous IoT Devices
Dan Xia, Xiaolong Zheng, Liang Liu and Huadong Ma (Beijing University of Posts and Telecommunications, China)
Speaker
Enabling Direct Message Dissemination in Industrial Wireless Networks via Cross-Technology Communication
Di Mu, Yitian Chen, Xingjian Chen and Junyang Shi (State University of New York at Binghamton, USA); Mo Sha (Florida International University, USA)
Speaker
Breaking the Throughput Limit of LED-Camera Communication via Superposed Polarization
Xiang Zou (Xi'an jiaotong University, China); Jianwei Liu (Zhejiang University, China); Jinsong Han (Zhejiang University & School of Cyber Science and Technology, China)
Speaker
LigBee: Symbol-Level Cross-Technology Communication from LoRa to ZigBee
Zhe Wang and Linghe Kong (Shanghai Jiao Tong University, China); Longfei Shangguan (Microsoft Cloud&AI, USA); Liang He (University of Colorado Denver, USA); Kangjie Xu (Shanghai Jiao Tong University, China); Yifeng Cao (Georgia Institute of Technology, USA); Hui Yu (Shanghai Jiao Tong University, China); Qiao Xiang (Xiamen University, USA); Jiadi Yu (Shanghai Jiao Tong University, China); Teng Ma (Alibaba Group, China); Zhuo Song (Alibaba Cloud & Shanghai Jiao Tong University, China); Zheng Liu (Alibaba Group & Zhejiang University, China); Guihai Chen (Shanghai Jiao Tong University, China)
Speaker
SDN
Nimble: Fast and Safe Migration of Network Functions
Sheng Liu (Microsoft, USA); Michael Reiter (Duke University, USA); Theophilus A. Benson (Brown University, USA)
Speaker
Efficient Verification of Timing-Related Network Functions in High-Speed Hardware
Tianqi Fang (University of Nebraska Lincoln, USA); Lisong Xu (University of Nebraska-Lincoln, USA); Witawas Srisa-an (University of Nebraska, USA)
In the paper, we propose an invariant-based method to improve the verification without losing soundness. Our method is motivated by an observation that most T-NFs follow a few fixed patterns to use timing information. Based on these patterns, we develop a set of efficient and easy-to-validate invariants to constrain the examination space. According to experiments on real T-NFs, our method can speed up verification by orders of magnitude without tampering the verification soundness.
Speaker
CURSOR: Configuration Update Synthesis Using Order Rules
Zibin Chen (University of Massachusetts, Amherst, USA); Lixin Gao (University of Massachusetts at Amherst, USA)
Existing approaches synthesize a safe update order by traversing the update order space, which is time-consuming and does not scale to a large number of configuration updates. This paper proposes CURSOR, a configuration update synthesis that extracts rules update order should follow. We implement CURSOR and evaluate its performance on real-world configuration update scenarios. The experimental results show that we can accelerate the synthesis by an order of magnitude on large-scale configuration updates.
Speaker Zibin Chen (University of Massachusetts, Amherst)
Zibin Chen is a Ph.D. student currently pursuing his degree with the Department of Electrical and Computer Engineering at the University of Massachusetts, Amherst. He received his Master of Science degree from the same institution in 2021 after completing his Bachelor of Engineering degree from Shandong Normal University in China. His research area includes network management, software-defined network, inter-domain routing and network verification.
CaaS: Enabling Control-as-a-Service for Time-Sensitive Networking
Zheng Yang, Yi Zhao, Fan Dang, Xiaowu He, Jiahang Wu, Hao Cao and Zeyu Wang (Tsinghua University, China); Yunhao Liu (Tsinghua University & The Hong Kong University of Science and Technology, China)
Speaker Xiaowu He (Tsinghua university)
Xiaowu He is a PhD candidate in School of Software, Tsinghua University, under the supervision of Prof. Zheng Yang. He received his B.E. degree in School of Computer Science and Engineering from University of Electronic Science and Technology of China in 2019. His research interests include Time-Sensitive Networking, edge computing, and Internet of Things.
Memory/Cache Management 2
Two-level Graph Caching for Expediting Distributed GNN Training
Zhe Zhang, Ziyue Luo and Chuan Wu (The University of Hong Kong, Hong Kong)
Speaker
Galliot: Path Merging Based Betweenness Centrality Algorithm on GPU
Zheng Zhigao and Bo Du (Wuhan University, China)
Speaker
Economic Analysis of Joint Mobile Edge Caching and Peer Content Sharing
Changkun Jiang (Shenzhen University, China)
Speaker
Enabling Switch Memory Management for Distributed Training with In-Network Aggregation
Bohan Zhao (Tsinghua University, China); Jianbo Dong and Zheng Cao (Alibaba Group, China); Wei Nie (Shenzhen University, unknown); Chang Liu (Shenzhen University, China); Wenfei Wu (Peking University, China)
Speaker Bohan Zhao (Tsinghua University)
Bohan Zhao is a Ph.D. candidate at Tsinghua University. His research interests include programmable networks and the information infrastructure for distributed applications, such as machine learning, high-performance computing, and big data.
Cloud/Edge Computing 2
TanGo: A Cost Optimization Framework for Tenant Task Placement in Geo-distributed Clouds
Luyao Luo, Gongming Zhao and Hongli Xu (University of Science and Technology of China, China); Zhuolong Yu (Johns Hopkins University, USA); Liguang Xie (Futurewei Technologies, USA)
To bridge the gap, we design a cost optimization framework for tenant task placement in geo-distributed clouds, called TanGo. However, it is non-trivial to achieve an optimization framework while meeting all the tenant requirements. To this end, we first formulate the electricity cost minimization for task placement problem as a constrained mixed-integer non-linear programming problem. We then propose a near-optimal algorithm with a tight approximation ratio (1-1/e) using an effective submodular-based method. Results of in-depth simulations based on real-world datasets show the effectiveness of our algorithm as well as the overall 10\%-30\% reduction in electricity expenses compared to commonly-adopted alternatives.
Speaker
An Approximation for Job Scheduling on Cloud with Synchronization and Slowdown Constraints
Dejun Kong and Zhongrui Zhang (Shanghai Jiao Tong University, China); Yangguang Shi (Shandong University, China); Xiaofeng Gao (Shanghai Jiao Tong University, China)
Speaker
Time and Cost-Efficient Cloud Data Transmission based on Serverless Computing Compression
Rong Gu and Xiaofei Chen (Nanjing University, China); Haipeng Dai (Nanjing University & State Key Laboratory for Novel Software Technology, China); Shulin Wang (Nanjing University, China); Zhaokang Wang and Yaofeng Tu (Nanjing University of Aeronautics and Astronautics, China); Yihua Huang (Nanjing University, China); Guihai Chen (Shanghai Jiao Tong University, China)
Speaker
Enabling Age-Aware Big Data Analytics in Serverless Edge Clouds
Zichuan Xu, Yuexin Fu and Qiufen Xia (Dalian University of Technology, China); Hao Li (China Coal Research Institute, China)
Speaker
Session Chair
Li Chen
Coffee Break
Security and Trust
A Comprehensive and Long-term Evaluation of Tor V3 Onion Services
Chunmian Wang, Luo Junzhou and Zhen Ling (Southeast University, China); Lan Luo (University of Central Florida, USA); Xinwen Fu (University of Massachusetts Lowell, USA)
Speaker
DTrust: Toward Dynamic Trust Levels Assessment in Time-Varying Online Social Networks
Jie Wen (East China Jiaotong University, China & University of South China, China); Nan Jiang (East China Jiaotong University, China); Jin Li (Guangzhou University, China); Ximeng Liu (Fuzhou University, China); Honglong Chen (China University of Petroleum, China); Yanzhi Ren (University of Electronic Science and Technology of China, China); Zhaohui Yuan and Ziang Tu (East China Jiaotong University, China)
Speaker
SDN Application Backdoor: Disrupting the Service via Poisoning the Topology
Shuhua Deng, Xian Qing and Xiaofan Li (Xiangtan University, China); Xing Gao (University of Delaware, USA); Xieping Gao (Hunan Normal University, China)
Speaker
Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing
Tian Dong (Shanghai Jiao Tong University, China); Ziyuan Zhang (Beijing University of Posts and Telecommunications, China); Han Qiu (Tsinghua University, China); Tianwei Zhang (Nanyang Technological University, Singapore); Hewu Li (Tsinghua University, China); Terry Wang (Alibaba, China)
Speaker
Session Chair
Yang Xiao
Federated Learning 6
A Reinforcement Learning Approach for Minimizing Job Completion Time in Clustered Federated Learning
Ruiting Zhou (Southeast University, China); Jieling Yu and Ruobei Wang (Wuhan University, China); Bo Li (Hong Kong University of Science and Technology, Hong Kong); Jiacheng Jiang and Libing Wu (Wuhan University, China)
Speaker
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices
Peichun Li (Guangdong University of Technology, China & University of Macau, Macao); Guoliang Cheng and Xumin Huang (Guangdong University of Technology, China); Jiawen Kang (Nanyang Technological University, Singapore); Rong Yu (Guangdong University of Technology, China); Yuan Wu (University of Macau, Macao); Miao Pan (University of Houston, USA)
By revealing the theoretical insights of the convergence analysis, personalized training strategies are deduced for different devices to match their locally available resources. Experiment results indicate that, when compared to the state-of-the-art efficient FL algorithms, our learning framework can reduce up to 1.9 times of the training latency and energy consumption for realizing a reasonable global testing accuracy. Moreover, the results also demonstrate that, our approach significantly improves the converged global accuracy.
Speaker
AOCC-FL: Federated Learning with Aligned Overlapping via Calibrated Compensation
Haozhao Wang (Huazhong University of Science and Technology, China); Wenchao Xu and Yunfeng Fan (The Hong Kong Polytechnic University, China); Ruixuan Li (Huazhong University of Science and Technology, China); Pan Zhou (School of CSE, Huazhong University of Science and Technology, China)
Speaker
Joint Edge Aggregation and Association for Cost-Efficient Multi-Cell Federated Learning
Tao Wu (National University of Defense Technology, China); Yuben Qu (Nanjing University of Aeronautics and Astronautics, China); Chunsheng Liu (National University of Defense Technology, China); Yuqian Jing (Nanjing University Of Aeronautics And Astronautics, China); Feiyu Wu (Nanjing University of Aeronautics and Astronautics, China); Haipeng Dai (Nanjing University & State Key Laboratory for Novel Software Technology, China); Chao Dong (Nanjing University of Aeronautics and Astronautics, China); Jiannong Cao (Hong Kong Polytechnic Univ, Hong Kong)
Speaker
Session Chair
Jun Li
Distributed Learning
Accelerating Distributed K-FAC with Efficient Collective Communication and Scheduling
Lin Zhang (Hong Kong University of Science and Technology, Hong Kong); Shaohuai Shi (Harbin Institute of Technology, Shenzhen, China); Bo Li (Hong Kong University of Science and Technology, Hong Kong)
Speaker
PipeMoE: Accelerating Mixture-of-Experts through Adaptive Pipelining
Shaohuai Shi (Harbin Institute of Technology, Shenzhen, China); Xinglin Pan and Xiaowen Chu (Hong Kong Baptist University, Hong Kong); Bo Li (Hong Kong University of Science and Technology, Hong Kong)
Speaker
DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization
Peiwen Qiu, Yining Li and Zhuqing Liu (The Ohio State University, USA); Prashant Khanduri (University of Minnesota, USA); Jia Liu and Ness B. Shroff (The Ohio State University, USA); Elizabeth Serena Bentley (AFRL, USA); Kurt Turck (United States Air Force Research Labs, USA)
Speaker
DAGC: Data-aware Adaptive Gradient Compression
Rongwei Lu (Tsinghua University, China); Jiajun Song (Dalian University of Technology, China); Bin Chen (Harbin Institute of Technology, Shenzhen, China); Laizhong Cui (Shenzhen University, China); Zhi Wang (Tsinghua University, China)
In this study, we first derive a function from capturing the correlation between the number of training iterations for a model to converge to the same accuracy, and the compression ratios at different workers; This function particularly shows that workers with larger data volumes should be assigned with higher compression ratios to guarantee better accuracy. Then, we formulate the assignment of compression ratios to the workers as an n-variables chi-square nonlinear optimization problem under fixed and limited total communication constrain. We propose an adaptive gradients compression strategy called DAGC, which assigns each worker a different compression ratio according to their data volumes. Our experiments confirm that DAGC can achieve better performance facing highly imbalanced data volume distribution and restricted communication.
Speaker
Session Chair
Yanjiao Chen
Edge Computing 3
Prophet: An Efficient Feature Indexing Mechanism for Similarity Data Sharing at Network Edge
Yuchen Sun, Deke Guo, Lailong Luo, Li Liu, Xinyi Li and Junjie Xie (National University of Defense Technology, China)
Speaker
DeepFT: Fault-Tolerant Edge Computing using a Self-Supervised Deep Surrogate Model
Shreshth Tuli and Giuliano Casale (Imperial College London, United Kingdom (Great Britain)); Ludmila Cherkasova (ARM Research, USA); Nicholas Jennings (Loughborough University, United Kingdom (Great Britain))
Speaker Shreshth Tuli
Shreshth Tuli is a President's Ph.D. Scholar at the Department of Computing, Imperial College London, UK. Prior to this he was an undergraduate student at the Department of Computer Science and Engineering at Indian Institute of Technology - Delhi, India. He has worked as a visiting research fellow at the CLOUDS Laboratory, School of Computing and Information Systems, the University of Melbourne, Australia. He is a national level Kishore Vaigyanik Protsahan Yojana (KVPY) scholarship holder from the Government of India for excellence in science and innovation. His research interests include Internet of Things (IoT), Fog Computing and Deep Learning.
Marginal Value-Based Edge Resource Pricing and Allocation for Deadline-Sensitive Tasks
Puwei Wang and Zhouxing Sun (Renmin University of China, China); Ying Zhan (Guizhou University of Finance and Economics, China); Haoran Li and Xiaoyong Du (Renmin University of China, China)
Speaker
Digital Twin-Enabled Service Satisfaction Enhancement in Edge Computing
Jing Li (The Hong Kong Polytechnic University, Hong Kong); Jianping Wang (City University of Hong Kong, Hong Kong); Quan Chen (Guangdong University of Technology, China); Yuchen Li (The Australian National University, Australia); Albert Zomaya (The University of Sydney, Australia)
Speaker
Session Chair
Hao Wang
Video Streaming 4
EAVS: Edge-assisted Adaptive Video Streaming with Fine-grained Serverless Pipelines
Biao Hou and Song Yang (Beijing Institute of Technology, China); Fernando A. Kuipers (Delft University of Technology, The Netherlands); Lei Jiao (University of Oregon, USA); Xiaoming Fu (University of Goettingen, Germany)
Speaker Biao Hou (Beijing Institute of Technology)
SJA: Server-driven Joint Adaptation of Loss and Bitrate for Multi-Party Realtime Video Streaming
Kai Shen, Dayou Zhang and Zi Zhu (The Chinese University of Hong Kong Shenzhen, China); Lei Zhang (Shenzhen University, China); Fangxin Wang (The Chinese University of Hong Kong, Shenzhen, China); Dan Wang (The Hong Kong Polytechnic University, Hong Kong)
In this paper, we propose the SJA framework, which is, to our best knowledge, the first server-driven joint loss and bitrate adaptation framework in multi-party realtime video streaming services towards maximized QoE. We comprehensively design an appropriate QoE model for MRVS services to capture the interplay among perceptual quality, variations, bitrate mismatch, loss damage, and streaming delay. We mathematically formulate the QoE maximization problem in MRVS services. A Lyapunov-based algorithm and the SJA algorithm is further designed to address the optimization problem with close-to-optimal performance. Evaluations show that our framework can outperform the SOTA solutions by 18.4% ~ 46.5%.
Speaker
Collaborative Streaming and Super Resolution Adaptation for Mobile Immersive Videos
Lei Zhang (Shenzhen University, China); Haotian Guo (ShenZhen University, China); Yanjie Dong (Shenzhen University, China); Fangxin Wang (The Chinese University of Hong Kong, Shenzhen, China); Laizhong Cui (Shenzhen University, China); Victor C.M. Leung (Shenzhen University, China & The University of British Columbia, Canada)
Speaker
ResMap: Exploiting Sparse Residual Feature Map for Accelerating Cross-Edge Video Analytics
Ning Chen, Shuai Zhang, Sheng Zhang, Yuting Yan, Yu Chen and Sanglu Lu (Nanjing University, China)
Speaker
Session Chair
Jun ZHAO
Learning
Learning to Schedule Tasks with Deadline and Throughput Constraints
Qingsong Liu and Zhixuan Fang (Tsinghua University, China)
Speaker
A New Framework: Short-Term and Long-Term Returns in Stochastic Multi-Armed Bandit
Abdalaziz Sawwan and Jie Wu (Temple University, USA)
Speaker
DeepScheduler: Enabling Flow-Aware Scheduling in Time-Sensitive Networking
Xiaowu He, Xiangwen Zhuge, Fan Dang, Wang Xu and Zheng Yang (Tsinghua University, China)
Speaker Xiaowu He (Tsinghua university)
Xiaowu He is a PhD candidate in School of Software, Tsinghua University, under the supervision of Prof. Zheng Yang. He received his B.E. degree in School of Computer Science and Engineering from University of Electronic Science and Technology of China in 2019. His research interests include Time-Sensitive Networking, edge computing, and Internet of Things.
The Power of Age-based Reward in Fresh Information Acquisition
Zhiyuan Wang, Qingkai Meng, Shan Zhang and Hongbin Luo (Beihang University, China)
Speaker
Miscellaneous
CLP: A Community based Label Propagation Framework for Multiple Source Detection
Chong Zhang and Luoyi Fu (Shanghai Jiao Tong University, China); Fei Long (Chinaso, China); Xinbing Wang (Shanghai Jiaotong University, China); Chenghu Zhou (Shanghai Jiao Tong University, China)
Despite recent considerable effort, most of them are built on a preset propagation model, which limits their application range. Some attempts aim to break this limitation via a label propagation scheme where the nodes surrounded by large proportions of infected nodes are highlighted. Nonetheless, the detection accuracy may suffer since the node labels are simply integers with all infected or uninfected nodes sharing the same initialization setting respectively, which fall short of sufficiently distinguishing the structural properties of them. To this end, we propose a community based label propagation (CLP) framework that locates multiple sources through exploiting the community structures formed by infected subgraph of different sources. Besides, CLP tries to enhance the detection accuracy by incorporating node prominence and exoneration effects. As such, CLP is applicable in more propagation models. Experiments on both synthetic and real-world networks further validate the superiority of CLP to the state-of-the-art.
Speaker Chong Zhang
Chong Zhang received his B.E. degree in Telecommunications Engineering from Xidian University, China, in 2018. He is currently pursuing the Ph.D. degree in Department of Electronic Engineering in Shanghai Jiao Tong University, Shanghai, China. His research of interests are in the area of social networks and data mining.
GinApp: An Inductive Graph Learning based Framework for Mobile Application Usage Prediction
Zhihao Shen, Xi Zhao and Jianhua Zou (Xi'an Jiaotong University, China)
Speaker
Cost-Effective Live Expansion of Three-Stage Switching Networks without Blocking or Connection Rearrangement
Takeru Inoue and Toru Mano (NTT Network Innovation Labs., Japan); Takeaki Uno (National Institute of Informatics, Japan)
Speaker
ASR: Efficient and Adaptive Stochastic Resonance for Weak Signal Detection
Xingyu Chen, Jia Liu, Xu Zhang and Lijun Chen (Nanjing University, China)
Speaker
Session Chair
Zhangyu Guan
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