Analysis on the Vulnerability of Multi-Server Federated Learning Against Model Poisoning Attacks

Abstract— Federated Learning (FL) makes it possible for a network of clients to jointly train a machine learning model, while also keeping the training data private. There are several approaches when designing a FL network and while most existing research is focused on a single-server design, new and promising variations are arising that make...