How Can Incentives and Cut Layer Selection Influence Data Contribution in Split Federated Learning?

Joohyung Lee, Jungchan Cho, Wonjun Lee +2

To alleviate the training burden in federated learning while enhancing convergence speed, Split Federated Learning (SFL) has emerged as a promising approach by combining the advant…