Understanding Malicious Clients in Federated Learning

The author aims to clarify the confusion surrounding poisoning attacks in Federated Learning by presenting a spectrum of adversaries and proposing a hybrid adversary model. This model combines compromised and fake clients to demonstrate varying impacts on the global model.