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D. Cebrián

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#federated learning Open access Dec 2026

P2PFL: A modular framework for Decentralized Federated Learning

Decentralized Federated Learning (DFL) offers a promising paradigm for collaborative machine learning training without centralized coordination, addressing critical limitations of centralized federated learning such as single points of failure, communication bottlenecks, and scalability constraints. However, the adopti...

Pedro Guijas Bravo, Sadi Alawadi, D. Cebrián et al. · Array · 0 citations