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This paper is in the following e-collection/theme issue:

Tutorial (165) Ethics, Privacy, and Legal Issues (815) E-Health Policy and Health Systems Innovation (535) Internet of Things (163) Artificial Intelligence (4851) Security in Digital Health (82) Ethical, Legal, and Social Issues in AI (213) AI Governance and Policy (69)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80178, first published .
Federated Learning + Blockchain for Healthcare: BCFL Core, AI, and data security.

Integration of Federated Learning and Blockchain in Health Care: Tutorial on Medical Data, Architectures, Privacy, Security, and Regulatory Compliance

Integration of Federated Learning and Blockchain in Health Care: Tutorial on Medical Data, Architectures, Privacy, Security, and Regulatory Compliance

Authors of this article:

Yahya Shahsavari1 Author Orcid Image ;   Yaser Baseri1 Author Orcid Image ;   Abdelhakim Hafid1 Author Orcid Image ;   Oussama Abderrahmane Dambri2 Author Orcid Image ;   Dimitrios Makrakis2 Author Orcid Image
Article Authors Cited by (4) Tweetations (6) Metrics

Journals

  1. Yun I. Future of xenotransplantation in Korea. Clinical Transplantation and Research 2026;40(2):163 View
  2. Shih P. The invisible risk trust framework: a decentralized consensus protocol for validating medical AI. Frontiers in Blockchain 2026;9 View
  3. Saheed Y, Chukwuere J. Federated learning explainable deep learning framework for enhanced internet of medical things security. Discover Artificial Intelligence 2026;6(1) View

Conference Proceedings

  1. Hao Z, He Q, Chang C, Xu Z, Li H, Guo J, Du J. 2025 IEEE International Joint Conference on Biometrics (IJCB). Bio-IL: A Robust Decentralized Biometric Recognition System Using Isomerism Learning with Heterogeneous Models on Private Blockchain View