SPCOM-L1: Distributed and Federated Learning
Tue, 16 Apr, 13:10 - 15:10 (UTC +9)
Location: Room E1
Session Type: Lecture
Session Co-Chairs: Tareq Alnaffouri, KAUST and Stefan Werner, NTNU
Track: Signal Processing for Communications and Networking
Click the to view the manuscript on IEEE Xplore Open Preview
Tue, 16 Apr, 13:10 - 13:30 (UTC +9)
SPCOM-L1.1: A Smoothed Bregman Proximal Gradient Algorithm for Decentralized Nonconvex Optimization
Tue, 16 Apr, 13:30 - 13:50 (UTC +9)
SPCOM-L1.2: ASYNCHRONOUS DIFFUSION LEARNING WITH AGENT SUBSAMPLING AND LOCAL UPDATES
Tue, 16 Apr, 13:50 - 14:10 (UTC +9)
SPCOM-L1.3: COMPOSITE FEDERATED LEARNING WITH HETEROGENEOUS DATA
Tue, 16 Apr, 14:10 - 14:30 (UTC +9)
SPCOM-L1.4: MITIGATING DATA INJECTION ATTACKS ON FEDERATED LEARNING
Tue, 16 Apr, 14:30 - 14:50 (UTC +9)
SPCOM-L1.5: MULTI-MODEL WIRELESS FEDERATED LEARNING WITH DOWNLINK BEAMFORMING
Tue, 16 Apr, 14:50 - 15:10 (UTC +9)