FedSC uses angular-neighbor relational prototypes and discrepancy-weighted consistent prototypes to reduce the accuracy loss of federated learning under non-IID client data.
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FedSC: Federated Learning with Semantic-Aware Collaboration
FedSC uses angular-neighbor relational prototypes and discrepancy-weighted consistent prototypes to reduce the accuracy loss of federated learning under non-IID client data.