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 |