Technical Program

Note: All times are in Pacific Daylight Time (UTC -7)

C-3: Federated Learning (invited)

Session Type: Virtual
Time: Tuesday, November 02, 11:15 - 12:45
Location: Room 3
Virtual Session: Attend on Virtual Platform
Session Chair: Aryan Mokhtari, University of Texas at Austin , USA
 
C-3.1: Local Adaptivity in Federated Learning: Convergence and Consistency
         Jianyu Wang; Carnegie Mellon University
         Zheng Xu; Google
         Zachary Garrett; Google
         Zachary Charles; Google
         Luyang Liu; Google
         Gauri Joshi; Carnegie Mellon University
 
C-3.2: Robust Federated Learning: The Case of Affine Distribution Shifts
         Amirhossein Reisizadeh; UCSB
         Farzan Farnia; MIT
         Ramtin Pedarsani; UCSB
         Ali Jadbabaie; MIT
 
C-3.3: Communication Efficient Distributed Minimax Optimization with Applications in Federated Learning
         Mehrdad Mahdavi; Penn State University
 
C-3.4: Exploiting Shared Representations for Personalized Federated Learning
         Liam Collins; UT Austin
         Hamed Hassani; UNIVERSITY OF PENNSYLVANIA
         Aryan Mokhtari; UT Austin
         Sanjay Shakkottai; UT Austin