FedCVR achieves 79.2% F1 and 0.96 AUC on five real heart-disease datasets under client-level DP, beating a no-DP FedAvg baseline — but not a DP-trained FedAvg baseline.
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Recovering Clinical Utility Under Differential Privacy: Empirical Validation of Adaptive Federated Aggregation on Heterogeneous Cardiovascular Datasets
FedCVR achieves 79.2% F1 and 0.96 AUC on five real heart-disease datasets under client-level DP, beating a no-DP FedAvg baseline — but not a DP-trained FedAvg baseline.