Workshops

The First International Workshop on Distributed Machine Learning and Fog Networks (FOGML 2021)

Session FOGML-OS

Opening Session

Conference
9:00 AM — 9:10 AM EDT
Local
May 10 Mon, 9:00 AM — 9:10 AM EDT

Session Chair

Chris Brinton

Enter Zoom
Session FOGML-S1

Fog Learning Protocols

Conference
9:10 AM — 10:30 AM EDT
Local
May 10 Mon, 9:10 AM — 10:30 AM EDT

Over-the-Air Federated Learning and Non-Orthogonal Multiple Access Unified by Reconfigurable Intelligent Surface

Wanli Ni (Beijng University of Posts and Telecommunications, China); Yuanwei Liu (Queen Mary University of London, United Kingdom (Great Britain)); Zhaohui Yang (King's College London, United Kingdom (Great Britain)); Hui Tian (Beijng university of posts and telecommunications, China)

0
This talk does not have an abstract.

Privacy-preserving Decentralized Aggregation for Federated Learning

Beomyeol Jeon (University of Illinois at Urbana-Champaign, USA); S m Ferdous (Purdue University, USA); Muntasir Raihan Rahman (Microsoft, USA); Anwar Walid (Nokia Bell Labs, USA)

0
This talk does not have an abstract.

A Federated Machine Learning Protocol for Fog Networks

Fotis Foukalas (University College London, United Kingdom (Great Britain)); Athanasios Tziouvaras (University of Thessaly, Greece)

0
This talk does not have an abstract.

Engineering A Large-Scale Traffic Signal Control: A Multi-Agent Reinforcement Learning Approach

Yue Chen (Xidian University); Changle Li (Xidian University, China); Wenwei Yue (Xidian University, China); Hehe Zhang (Xidian University, China); Guoqiang Mao (Xidian University)

0
This talk does not have an abstract.

Session Chair

David Love

Enter Zoom
Session FOGML-KS

Keynote Session

Conference
10:45 AM — 11:45 AM EDT
Local
May 10 Mon, 10:45 AM — 11:45 AM EDT

TBD

TBD

0
This talk does not have an abstract.

Session Chair

To Be Determined

Enter Zoom
Session FOGML-S2

Network-aware Learning

Conference
11:50 AM — 1:10 AM EDT
Local
May 10 Mon, 11:50 AM — 1:10 AM EDT

Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning

Nader Bouacida (University of California, Davis, USA); Jiahui Hou (Illinois Institute of Technology, USA); Hui Zang (Sprint, USA); Xin Liu (University of California Davis, USA)

0
This talk does not have an abstract.

Quality-Aware Distributed Computation and User Selection for Cost-Effective Federated Learning

Yuxi Zhao (Auburn University, USA); Xiaowen Gong (Auburn University, USA)

0
This talk does not have an abstract.

On the distribution of ML workloads to the network edge and beyond

Georgios Drainakis (Institute of Communication and Computer Systems, Greece); Panagiotis Pantazopoulos (Institute of Communication and Computer Systems (ICCS), Greece); Konstantinos V. Katsaros (Institute of Communication and Computer Systems (ICCS), Greece);Vasilis Sourlas (ICCS-NTUA, Greece); Angelos Amditis (Institute of Communication and Computer Systems, Greece)

0
This talk does not have an abstract.

Decentralized Max-Min Resource Allocation for Monotonic Utility Functions

Shuang Wu (Huawei Technologies Co., Ltd., Hong Kong); Xi Peng (Huawei Technologies Co., Ltd., Hong Kong); Guangjian Tian (Huawei Technologies Co., Ltd., Hong Kong)

0
This talk does not have an abstract.

Session Chair

Carlee Joe-Wong

Enter Zoom

Made with in Toronto · Privacy Policy · INFOCOM 2020 · © 2021 Duetone Corp.