A systematic review of federated learning applications for biomedical data

A systematic review of federated learning applications for biomedical data

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<h4>Objectives</h4> 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 maintain...

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Bibliographic Details
Main Authors: Matthew G. Crowson, Dana Moukheiber, Aldo Robles Arévalo, Barbara D. Lam, Sreekar Mantena, Aakanksha Rana, Deborah Goss, David W. Bates, Leo Anthony Celi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-05-01
Series:PLOS Digital Health
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931322/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931322/?tool=EBI

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