CoeF-SFL: Preserving Collaborative Server-Client Learning with Enhanced Communication Efficiency.
arXiv:2609.34360v1 Announce Type: new Abstract: Split Federated Learning (SFL) enables resource-constrained clients to participate in collaborative training, but vanilla SFL exchanges smashed data and gradients at every batch, which incurs significant communic
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