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.
Rethinking federated learning with domain shift: A proto- type view
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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.