Henger Li

Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework

We propose a model-based reinforcement learning framework to derive untargeted poisoning attacks against federated learning (FL) systems. Our framework first approximates the distribution of the clients' aggregated data using model updates from the server. The learned distribution is then used to bu…