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面向多源数据的个性化联邦学习框架.
- Source :
- Journal of Computer Engineering & Applications; Oct2024, Vol. 60 Issue 19, p278-287, 10p
- Publication Year :
- 2024
-
Abstract
- <i>Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
- Subjects :
- DATA privacy
FEDERATED learning
BUDGET
PRIVACY
NOISE
Subjects
Details
- Language :
- Chinese
- ISSN :
- 10028331
- Volume :
- 60
- Issue :
- 19
- Database :
- Complementary Index
- Journal :
- Journal of Computer Engineering & Applications
- Publication Type :
- Academic Journal
- Accession number :
- 180349953
- Full Text :
- https://doi.org/10.3778/j.issn.1002-8331.2306-0366