FedSAP stabilizes federated prototype learning via a deterministic alignment curriculum and proxy separation loss, reporting up to 4 percentage point gains under high heterogeneity across three benchmarks.
Federated semi-supervised learning with inter-client consistency & disjoint learning.arXiv preprint arXiv:2006.12097, 2020
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Closing the Alignment-Maturity Gap in Federated Prototype Learning
FedSAP stabilizes federated prototype learning via a deterministic alignment curriculum and proxy separation loss, reporting up to 4 percentage point gains under high heterogeneity across three benchmarks.