arxivcs.NI2026-07-07
FLAIR: Distributed Federated Learning with Dynamic Clustering
Ihssan Boutebicha, Bilel Zaghdoudi, Mohamed Amine Legheraba, Maria Potop Butucaru
Federated Learning (FL) offers a privacy-preserving framework for distributed machine learning, yet conventional centralized and hierarchical architectures present significant challenges in terms of scalability, resilience, and single points of failure, particularly in dynamic, i…