Delphi attacks federated learning by optimising first-layer weights to maximise predictive uncertainty, with Bayesian optimisation outperforming a trust-region variant.
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Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning
Delphi attacks federated learning by optimising first-layer weights to maximise predictive uncertainty, with Bayesian optimisation outperforming a trust-region variant.