CoASFL: coupled consistency optimization for asynchronous split federated learning
Read the original at arxiv.org→arXiv:2610.26992v1 Announce Type: new Abstract: Split Federated Learning (SFL) has emerged as a promising paradigm for training large-scale deep models on resource-constrained edge devices. Although asynchronous SFL...
Original headline: "CoASFL: Coupled Consistency Optimization for Asynchronous Split Federated Learning"
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- Oct 21, 04:00 UTC arXiv cs.LG lead source CoASFL: Coupled Consistency Optimization for Asynchronous Split Federated Learning