Personalized Federated Learning via Feature Distribution Adaptation
–Neural Information Processing Systems
Federated learning (FL) is a distributed learning framework that leverages commonalities between distributed client datasets to train a global model.
Neural Information Processing Systems
Feb-16-2026, 13:16:54 GMT
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