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FedDAG: Clustered Federated Learning via Global Data and Gradient Integration for Heterogeneous Environments

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Pramanik, Anik, Kantarcioglu, Murat, Oria, Vincent, Sharma, Shantanu
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence Distributed, Parallel, and Cluster Computing
Accesso online:	Acceder al recurso
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