Rania Talbi

Robust Federated Learning for Ubiquitous Computing through Mitigation of Edge-Case Backdoor Attacks

"Federated Learning (FL) allows several data owners to train a joint model without sharing their training data. Such a paradigm is useful for better privacy in many ubiquitous computing systems. However, FL is vulnerable to poisoning attacks, where malicious participants attempt to inject a backdoor task in the model…