Malicious clients can craft LDP-compliant updates that collapse the global model in federated learning, even when the server uses Multi-Krum or trimmed mean aggregation.
Multi- institutional deep learning modeling without sharing patient data: A feasibility study on brain tumor segmentation,
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On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy
Malicious clients can craft LDP-compliant updates that collapse the global model in federated learning, even when the server uses Multi-Krum or trimmed mean aggregation.