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Measuring Data Similarity for Efficient Federated Learning: A Feasibility Study

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Famá, Fernanda, Kalalas, Charalampos, Lagen, Sandra, Dini, Paolo
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Distributed, Parallel, and Cluster Computing
Accesso online:	Acceder al recurso
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