A systematic review of federated learning applications for biomedical data

OBJECTIVES: Federated learning (FL) allows multiple institutions to collaboratively develop a machine learning algorithm without sharing their data. Organizations instead share model parameters only, allowing them to benefit from a model built with a larger dataset while maintaining the privacy of t...

Descripción completa

Detalles Bibliográficos
Autores principales: Crowson, Matthew G., Moukheiber, Dana, Arévalo, Aldo Robles, Lam, Barbara D., Mantena, Sreekar, Rana, Aakanksha, Goss, Deborah, Bates, David W., Celi, Leo Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931322/
https://www.ncbi.nlm.nih.gov/pubmed/36812504
http://dx.doi.org/10.1371/journal.pdig.0000033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931322/
https://www.ncbi.nlm.nih.gov/pubmed/36812504
http://dx.doi.org/10.1371/journal.pdig.0000033

Ejemplares similares