Compression Footprints as Security Signals for Model-Poisoning Defense in Federated Learning
CRAFT defends federated learning against model poisoning by scoring lossy-compression footprints of client updates.
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CRAFT defends federated learning against model poisoning by scoring lossy-compression footprints of client updates.
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