clustered federated learning 1distributed expectation-maximization 1federated learning 1metadata clustering 1privacy-preserving learning 1
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cs.LG2026
Encryption-Compatible Clustered Federated Learning via Distributed Expectation-Maximization over Metadata
Michael Ben Ali, Imen Megdiche, André Péninou +1
The paper introduces FLAMECHE, a method that reformulates metadata‑based clustered federated learning as a distributed Expectation‑Maximization process, allowing additive server up…
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…