SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Super-Networks

Abdullah Al Asif, Sixing Yu, Juan Pablo Munoz +2

SplitFed Learning (SFL) combines federated learning and split learning to enable collaborative training across distributed edge devices; however, it faces significant challenges in…