FedDAP improves federated learning under domain shift by creating domain-specific global prototypes via similarity-weighted fusion and using them for domain-aware local feature alignment.
Learning transferable conceptual prototypes for interpretable unsuper- vised domain adaptation.IEEE Transactions on Image Pro- cessing, 2024
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FedDAP: Domain-Aware Prototype Learning for Federated Learning under Domain Shift
FedDAP improves federated learning under domain shift by creating domain-specific global prototypes via similarity-weighted fusion and using them for domain-aware local feature alignment.