Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients

Youssef Allouah, Abdellah El Mrini, Rachid Guerraoui +2

Federated learning (FL) is an appealing paradigm that allows a group of machines (a.k.a. clients) to learn collectively while keeping their data local. However, due to the heteroge…