FedDAA dynamically clusters clients and distinguishes real drift from virtual and label drift, retaining historical data when decision boundaries are unchanged.
Fedrc: Tackling diverse distribution shifts challenge in federated learning by robust clustering
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FedDAA: Dynamic Client Clustering for Concept Drift Adaptation in Federated Learning
FedDAA dynamically clusters clients and distinguishes real drift from virtual and label drift, retaining historical data when decision boundaries are unchanged.