Yuchen Qin

FedCART: Tackling Long-Tailed Distributions in Federated Adversarial Training via Classifier Refinement

Growing privacy and security demands in the real world have spurred interest in adversarially robust Federated Learning (FL). While Adversarial Training (AT) is a well-established defense in centralized learning, its extension to the federated setting, known as Federated Adversarial Training (FAT),