R2CFL couples worker reputation to robust update filtering in crowdsourced federated learning so that stealthy attackers lose influence, with reputation dynamics claimed to mirror the defense's true and false positive rates.
In: International Conference on Artificial Intelligence and Statistics
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Robust Reputation-Driven Crowdsourced Federated Learning
R2CFL couples worker reputation to robust update filtering in crowdsourced federated learning so that stealthy attackers lose influence, with reputation dynamics claimed to mirror the defense's true and false positive rates.