A parameter-free Bayesian aggregation method, based on variational inference over latent honesty indicators, matches Krum's robustness on benchmark federated learning attacks without needing to know the number of malicious clients.
M., Guerraoui, R., and Stainer, J
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Bayesian Robust Aggregation for Federated Learning
A parameter-free Bayesian aggregation method, based on variational inference over latent honesty indicators, matches Krum's robustness on benchmark federated learning attacks without needing to know the number of malicious clients.