Federated Learning in Healthcare: From Research to Real-World Deployment.

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Bibliographic Details
Title: Federated Learning in Healthcare: From Research to Real-World Deployment.
Authors: Bakas S; Center for Federated Learning in Medicine, Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA; email: spbakas@iu.edu.; Departments of Radiology and Imaging Sciences, Neurological Surgery, and Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, USA.; Department of Computer Science, Luddy School of Informatics, Computing, and Engineering, Indiana University, Indianapolis, Indiana, USA.; Medical Research Group, MLCommons, San Francisco, California, USA.; Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, Indiana, USA., Li X; Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada.; Vector Institute, Toronto, Ontario, Canada., Shah P; Medical Research Group, MLCommons, San Francisco, California, USA., Roth HR; NVIDIA, Santa Clara, California, USA.
Source: Annual review of biomedical engineering [Annu Rev Biomed Eng] 2026 May; Vol. 28 (1), pp. 163-186. Date of Electronic Publication: 2026 Jan 21.
Publication Type: Journal Article; Review
Journal Info: Publisher: Annual Reviews Country of Publication: United States NLM ID: 100883581 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1545-4274 (Electronic) Linking ISSN: 15239829 NLM ISO Abbreviation: Annu Rev Biomed Eng Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1545-4274
DOI:10.1146/annurev-bioeng-080125-041414