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.
Fedfa: Feder- ated learning with feature anchors to align features and clas- sifiers for heterogeneous data.IEEE Transactions on Mobile Computing, 23(6):6731–6742
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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.