Have Your Cake and Eat It Too: Toward Efficient and Accurate Split Federated Learning

Dengke Yan, Ming Hu, Zeke Xia +4

Due to its advantages in resource constraint scenarios, Split Federated Learning (SFL) is promising in AIoT systems. However, due to data heterogeneity and stragglers, SFL suffers…