co-located with IEEE MASS 2023 in Toronto, Canada on Sept 27, 2023

Intelligent and Converged Networks (ICN) draws its name from the accelerating convergence of different fields of communication technology and the growing influence of artificial intelligence and machine learning. This workshop (WICN 2023) is devoted to exchanging innovative ideas in emerging intelligent and converged networks. It is intended to foster cooperation among researchers in this area, and push the existing research forward for a deeper understanding about intelligent and converged networks.

Welcome Message
2:00-2:20pm
Baochun Li (Workshop General Chair, University of Toronto)
Jian Song (EIF of ICN, Tsinghua University)
He Chen (Tsinghua University Press)

Invited Talks
2:20-3:20pm

2:20-2:40pm: Topology Design and Graph Embedding for Decentralized Federated Learning, Jie Wu (Temple University)

2:40-3:00pm: Federated Learning: The Good, the Bad, and the Ugly, Baochun Li (University of Toronto)

3:00-3:20pm: Accurate Monitoring of Networked Microgrid under Uncertainty, Xin Wang (Stony Brook University)

Break
3:20-3:30pm

Invited Talks
3:30-4:50pm

3:30-3:50pm: HAWatcher: Semantics-Aware Anomaly Detection for Appified Smart Homes, Xiaojiang Du (Stevens Institute of Technology)

3:50-4:10pm: Accelerating Multi-target Visual Tracking on Smart Edge Devices, Rong Zheng (McMaster University)

4:10-4:30pm: Edge-Assisted Indexing for Highly Dynamic and Static Data in AR/VR-Enabled Autonomous Vehicles, Zhu Han (University of Houston)

4:30-4:50pm: Quantum Assisted Optimization for Distributed Computing and Networking, Yu Wang (Temple University)

Workshop Organizers
General Chair: Baochun Li (University of Toronto)
Program Chair: Yu Wang (Temple University)