TA3a: Distributed Optimization and Learning
Tue, 29 Oct, 08:15 - 09:55 PT (UTC -7)
Location: Scripps
Session Type: Lecture
Track: Networks and Graphs
Tue, 29 Oct, 08:15 - 08:40 PT (UTC -7)

TA3a.1: The Effectiveness of Local Updates for Decentralized Learning under Data Heterogeneity
Tongle Wu, Ying Sun, The Pennsylvania State University, United States
Tue, 29 Oct, 08:40 - 09:05 PT (UTC -7)

TA3a.2: Proximally Regularized Multitask Learning over Networks
Stefan Vlaski, Imperial College London, United Kingdom; Roula Nassif, Université Côte d’Azur, France
Tue, 29 Oct, 09:05 - 09:30 PT (UTC -7)

TA3a.3: Byzantine-Resilient Dual Methods for Vertical Federated Optimization
Jinghua Huang, Peking University, China; Zhaoxian Wu, Rensselaer Polytechnic Institute, United States; Qing Ling, Sun Yat-sen University, China; Kun Yuan, Peking University, China
Tue, 29 Oct, 09:30 - 09:55 PT (UTC -7)

TA3a.4: ADMM for Downlink Beamforming in Cell-Free Massive MIMO Systems
Mehdi Zafari, Divyanshu Pandey, Rahman Doost-Mohammady, César A. Uribe, Rice University, United States