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

Internet

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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