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cs.DC2024
The Impact of Cut Layer Selection in Split Federated Learning
Justin Dachille, Chao Huang, Xin Liu
Split Federated Learning (SFL) is a distributed machine learning paradigm that combines federated learning and split learning. In SFL, a neural network is partitioned at a cut laye…
cs.DC2024★ 1 cited
Convergence Analysis of Split Federated Learning on Heterogeneous Data
Pengchao Han, Chao Huang, Geng Tian +2
Split federated learning (SFL) is a recent distributed approach for collaborative model training among multiple clients. In SFL, a global model is typically split into two parts, w…