Cloud-Based Federated Learning Implementation Across Medical Centers

Building well-performing machine learning (ML) models in health care has always been exigent because of the data-sharing concerns, yet ML approaches often require larger training samples than is afforded by one institution. This paper explores several federated learning implementations by applying t...

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Detalles Bibliográficos
Autores principales: Rajendran, Suraj, Obeid, Jihad S., Binol, Hamidullah, D`Agostino, Ralph, Foley, Kristie, Zhang, Wei, Austin, Philip, Brakefield, Joey, Gurcan, Metin N., Topaloglu, Umit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Clinical Oncology 2021
Materias:
ORIGINAL REPORTS
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140794/
https://www.ncbi.nlm.nih.gov/pubmed/33411624
http://dx.doi.org/10.1200/CCI.20.00060

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140794/
https://www.ncbi.nlm.nih.gov/pubmed/33411624
http://dx.doi.org/10.1200/CCI.20.00060

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