A Robust Clustered Federated Learning Approach for Non-IID Data with Quantity Skew

Michael Ben Ali, Imen Megdiche, André Peninou +1

Federated Learning (FL) is a decentralized paradigm that enables a client-server architecture to collaboratively train a global Artificial Intelligence model without sharing raw da…