Privacy-preserving multimodal federated learning pipeline for cyber-resilient healthcare systems.

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Bibliographic Details
Title: Privacy-preserving multimodal federated learning pipeline for cyber-resilient healthcare systems.
Authors: Tanvir MIM; Department of Information Technology, Washington University of Science and Technology, Alexandria, Virginia, United States of America., Rabby HR; Department of Computer Science, Campbellsville University, Louisville, Kentucky, United States of America., Arif MH; Department of Information Technology, University of the Potomac, Potomac, Washington, D.C., United States of America., Nadia NY; Department of Information Technology, Washington University of Science and Technology, Alexandria, Virginia, United States of America., Nur K; Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh.
Source: PloS one [PLoS One] 2026 Apr 10; Vol. 21 (4), pp. e0343669. Date of Electronic Publication: 2026 Apr 10 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0343669