Abstract: Federated learning attempts to train a machine learning algorithm on several local datasets stored on local nodes without needing direct data sample exchange to avoid data leaking. However, ...

Abstract: Although federated learning offers a level of privacy by aggregating user data without direct access, it remains inherently vulnerable to various attacks, including poisoning attacks where ...