TP3a: Federated Learninng
Tue, 28 Oct, 13:30 - 15:10 PT (UTC -7)
Location: Scripps
Session Type: Lecture
Track: Networks and Graphs
Tue, 28 Oct, 13:30 - 13:55 PT (UTC -7)

TP3a.1: LLM-enhanced Bayesian optimization for model partitioning in large-scale split federated learning
Haotian Xiang, University of Georgia, United States; Jun You, Jia Yan, HKUST (Guangzhou), China; Qin Lu, University of Georgia, United States
Tue, 28 Oct, 13:55 - 14:20 PT (UTC -7)

TP3a.2: Over-the-Air Aggregation for Min-Max Multi-Model Federated Learning over Fading Channels
Chong Zhang, University of Toronto, Canada; Min Dong, Ontario Tech University, Canada; Ben Liang, University of Toronto, Canada; Ali Afana, Yahia Ahmed, Ericsson Canada, Canada
Tue, 28 Oct, 14:20 - 14:45 PT (UTC -7)

TP3a.3: Coordinated Online Client Selection for Energy-Harvesting Over-the-Air Federated Learning
Jiayu Mao, Aylin Yener, The Ohio State University, United States
Tue, 28 Oct, 14:45 - 15:10 PT (UTC -7)

TP3a.4: Enhancing Efficiency and Privacy in Federated Learning via Partial Model Sharing
Dawit Kiros Redie, Stefan Werner, Norwegian University of Science and Technology, Norway; Reza Arablouei, CSIRO’s Data61, Australia