CoASFL: Coupled Consistency Optimization for Asynchronous Split Federated Learning
CoASFL is proposed, an inconsistency-aware asynchronous SFL framework that incorporates a dynamic activation merging mechanism and a consistency-aware model aggregation mechanism that effectively suppresses inconsistency propagation during asynchronous training.
Jun-Hao Cheng, Yun-Ming Liao, Hong-Li Xu et al.
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