Privacy-preserving federated learning in healthcare: Fundamentals, state of the art and prospective research directions
- Title
- Privacy-preserving federated learning in healthcare: Fundamentals, state of the art and prospective research directions
- Description
- 2024 IEEE 3rd World Conference on Applied Intelligence and Computing, AIC 2024 pp.1438-1443
- Creator
- Namitha T.N.; Raghavendra S.; Vinith R.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210231969&doi=10.1109%2fAIC61668.2024.10730929&partnerID=40&md5=98e86c7df937a22aea610003596951bb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210231969&doi=10.1109%2fAIC61668.2024.10730929&partnerID=40&md5=98e86c7df937a22aea610003596951bb</a>
- Date
- 2024-01-01
Collection
Citation
Namitha T.N.; Raghavendra S.; Vinith R., “Privacy-preserving federated learning in healthcare: Fundamentals, state of the art and prospective research directions,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/9426.