OpenFL: the open federated learning library

Objective. Federated learning (FL) is a computational paradigm that enables organizations to collaborate on machine learning (ML) and deep learning (DL) projects without sharing sensitive data, such as patient records, financial data, or classified secrets. Approach. Open federated learning (OpenFL)...

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Detalles Bibliográficos
Autores principales: Foley, Patrick, Sheller, Micah J, Edwards, Brandon, Pati, Sarthak, Riviera, Walter, Sharma, Mansi, Narayana Moorthy, Prakash, Wang, Shih-han, Martin, Jason, Mirhaji, Parsa, Shah, Prashant, Bakas, Spyridon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOP Publishing 2022
Materias:
Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715347/
https://www.ncbi.nlm.nih.gov/pubmed/36198326
http://dx.doi.org/10.1088/1361-6560/ac97d9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715347/
https://www.ncbi.nlm.nih.gov/pubmed/36198326
http://dx.doi.org/10.1088/1361-6560/ac97d9

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