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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…