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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

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
  4. Bian X, Hu X, Wang A, Bai S. CDAFIM: a class-difficulty-aware fair incentive mechanism for federated learning. Cluster Computing 2026;29(13) View
  5. Di Grezia G, Clemente A, Dugheri S, Mattei V, Gili A, Mari E, Urraro F, Mucci N, Baldassarre A. Blockchain and Internet of Medical Things for Resilient Healthcare. Bioengineering 2026;13(10):1173 View

Books/Policy Documents

  1. Aarthi S, R. N. R. Integrating Blockchain, Federated Learning, and Metaverse Ecosystems Into Decentralized Classrooms. 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