Precision at heart: An IoT-based vertical federated learning approach for heterogeneous data-driven cardiovascular disease risk prediction
This paper has an impact on the healthcare sector, where user data privacy is of utmost concern. This advancement will improve the ability of the healthcare sector to diagnose various diseases and contribute to the field of AI by improving distributed AI algorithms.
Authors
- Raj Mani Shukla (ORCID: https://orcid.org/0000-0002-8239-7325)
- Amar Nath Patra (ORCID: https://orcid.org/0000-0001-5852-4139)
- Sulfikar Shajimon
Institutions
- Anglia Ruskin University (GB)
- Radford University (US)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2025-10-03
- DOI
- https://doi.org/10.1016/j.cmpb.2025.109079
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 5.88