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Decentralized federated learning through proxy model sharing

Institutions in highly regulated domains such as finance and healthcare often have restrictive rules around data sharing. Federated learning is a distributed learning framework that enables multi-institutional collaborations on decentralized data with improved protection for each collaborator’s data...

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Detalles Bibliográficos
Autores principales:	Kalra, Shivam, Wen, Junfeng, Cresswell, Jesse C., Volkovs, Maksims, Tizhoosh, H. R.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203322/ https://www.ncbi.nlm.nih.gov/pubmed/37217476 http://dx.doi.org/10.1038/s41467-023-38569-4

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