IEEE INFOCOM 2024

Program at a Glance

IEEE INFOCOM 2024

Session Break-2-1: Coffee Break Session Break-2-2: Coffee Break

Session A-4: A-4: Software Defined Networking and Virtualization Session A-7: A-7: Consensus Protocols

Session B-4: B-4: Encryption and Payment Channel Networks Session B-7: B-7: Vehicular Networks

Session C-4: C-4: Routing Session C-7: C-7: Congestion Management

Session D-4: D-4: Acoustic and Multimodal Sensing Session D-7: D-7: Edge Computing

Session E-4: E-4: Federated Learning 3 Session E-5: E-5: Machine Learning with Transformers Session E-6: E-6: Federated Learning 4 Session E-7: E-7: Machine Learning 1

Session F-4: F-4: Caching Session F-5: F-5: Remote Direct Memory Access (RDMA) Session F-6: F-6: Video Delivery and Analytics Session F-7: F-7: Data Center Networking

Session Lunch-2: Conference Lunch (for Registered Attendees)

Session G-4: G-4: Energy Efficiency Session G-5: G-5: Localization Session G-6: G-6: Wireless Sensing Session G-7: G-7: Quantum Networking

Session Panel: Panel: AI+Network: Look Back, Look Forward

Session Reflection: A Reflection with INFOCOM Achievement Award Winner

Session Reflection

A Reflection with INFOCOM Achievement Award Winner

Conference

1:30 PM — 3:00 PM PDT

Local

May 22 Wed, 4:30 PM — 6:00 PM EDT

Location

Regency C

A Reflection with INFOCOM Achievement Award Winner

Guoliang Xue (Arizona State University, USA)

In this session, Prof. Guoliang Xue will have a conversation with the INFOCOM Achievement Award winner: Baochun Li (University of Toronto).

Speaker Baochun Li (University of Toronto)

Baochun Li has made pioneering and sustained contributions to computer networking and distributed systems, ranging from the theory and practice of network coding to cloud security and federated learning. He is widely respected for taking the mathematical rigor of theoretical underpinnings to design and build real-world systems of practical relevance. His pioneering work on both theoretical advances and practical designs of network coding has led to the UUSee live streaming system in 2009, the world’s first large-scale deployment of network coding in commercial live streaming systems. His seminal work in 2014 studied the practical security challenge of sharing data over the cloud, which has become a daily routine with the prevalence of shared cloud storage services. More recently, he has made seminal contributions towards improving the performance of distributed machine learning systems and federated learning. Since 2015, he has played leadership roles towards automating review assignments in IEEE INFOCOM. His research impact has led to the IEEE Communications Society Leonard G. Abraham Prize Paper Award (2000), the IEEE Communications Society Multimedia Communications Best Paper Award (2009), as well as the Best Paper Award in IEEE INFOCOM 2023. He is a Fellow of the Canadian Academy of Engineering, the Engineering Institute of Canada, and IEEE.

Session Chair

Guoliang (Larry) Xue (Arizona State University, USA)

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Program at a Glance