Mustafa Safa Ozdayi

Defending against Backdoors in Federated Learning with Robust Learning Rate

Federated learning (FL) allows a set of agents to collaboratively train a model without sharing their potentially sensitive data. This makes FL suitable for privacy-preserving applications. At the same time, FL is susceptible to adversarial attacks due to decentralized and unvetted data. One importa…