FIDELIS uses a client-agreed isolation forest judge model, trained on gradient statistics from a public dataset, to detect and filter poisoned federated learning updates.
Communication-efficient learning of deep networks from decentralized data,
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FIDELIS: Blockchain-Enabled Protection Against Poisoning Attacks in Federated Learning
FIDELIS uses a client-agreed isolation forest judge model, trained on gradient statistics from a public dataset, to detect and filter poisoned federated learning updates.