CoASFL: Coupled Consistency Optimization for Asynchronous Split Federated Learning
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 alleviates the straggler bottleneck caused by system heterogeneity, it inevitably i…
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- 2026-10-21 04:00 · arXiv cs.LG
CoASFL: Coupled Consistency Optimization for Asynchronous Split Federated Learning