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cs.LG2025
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…
stat.ML2025
A survey on Clustered Federated Learning: Taxonomy, Analysis and Applications
Michael Ben Ali, Omar El-Rifai, Imen Megdiche +2
As Federated Learning (FL) expands, the challenge of non-independent and identically distributed (non-IID) data becomes critical. Clustered Federated Learning (CFL) addresses this…