Division in Unity: Towards Efficient and Privacy-Preserving Learning of Healthcare Data
The isolation of healthcare data among worldwide hospitals and institutes forms barriers for fully realizing the data-hungry artificial intelligence (AI) models promises in renewing medical services. To overcome this, privacy... | Find, read and cite all the research you need on Tech Science Press
Authors
- Tongqing Zhou (ORCID: https://orcid.org/0000-0002-6620-1898)
- Hui Cynthia Zhou (ORCID: https://orcid.org/0000-0002-6491-7745)
- Zhiping Cai
- Peter Liu (ORCID: https://orcid.org/0000-0002-8703-6967)
- G. P. Lu
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmc.2025.069175
- Citations
- 1
- Primary Topic
- Privacy-Preserving Technologies in Data
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- National Natural Science Foundation of China
- National University of Defense Technology
- National Key Research and Development Program of China