AINeutralarXiv – CS AI · 6d ago6/10
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FedDAP: Domain-Aware Prototype Learning for Federated Learning under Domain Shift
Researchers introduce FedDAP, a federated learning framework that addresses domain shift challenges by constructing domain-specific global prototypes rather than single aggregated prototypes. The method aligns local features with prototypes from the same domain while encouraging separation from different domains, improving model generalization across heterogeneous client data.