Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning

Yao Zhou, Jun Wu, Haixun Wang +1

Federated learning learns a neural network model by aggregating the knowledge from a group of distributed clients under the privacy-preserving constraint. In this work, we show tha…