Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy

Zikai Zhang, Rui Hu

Federated learning (FL) is designed to preserve data privacy during model training, where the data remains on the client side (i.e., IoT devices), and only model updates of clients…