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

Tutorial (86) Ethics, Privacy, and Legal Issues (691) E-Health Policy and Health Systems Innovation (395) Internet of Things (107) Artificial Intelligence (2506) Security in Digital Health (61) Ethical, Legal, and Social Issues in AI (145) AI Governance and Policy (37)

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 (1) Tweetations (1) Metrics

Yahya Shahsavari   1 , PhD ;   Yaser Baseri   1 , PhD ;   Abdelhakim Hafid   1 , PhD ;   Oussama Abderrahmane Dambri   2 , PhD ;   Dimitrios Makrakis   2 , PhD

1 Department of Computer Science and Operations Research, Université de Montréal, Montréal, QC, Canada

2 School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

Corresponding Author:

  • Yahya Shahsavari, PhD
  • Department of Computer Science and Operations Research
  • Université de Montréal
  • 2900 Bd Édouard-Montpetit
  • Montréal, QC H3T 1J4
  • Canada
  • Phone: 1 5144514964
  • Email: yahya.shahsavari@etsmtl.ca