Mario Casado-Diez
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2026
Closing the Alignment-Maturity Gap in Federated Prototype Learning
The paper proposes FedSAP, a framework that stabilizes federated prototype learning by delaying global alignment and enforcing inter-class structure, significantly improving representation quality under high data heterogeneity.
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