Privacy-preserving machine learning with multiple data providers

Li, Ping, Li, Tong, Ye, Heng, Li, Jin, Chen, Xiaofeng and Xiang, Yang 2018, Privacy-preserving machine learning with multiple data providers, Future generation computer systems, vol. 87, pp. 341-350, doi: 10.1016/j.future.2018.04.076.

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Title Privacy-preserving machine learning with multiple data providers
Author(s) Li, Ping
Li, Tong
Ye, Heng
Li, Jin
Chen, Xiaofeng
Xiang, YangORCID iD for Xiang, Yang orcid.org/0000-0001-5252-0831
Journal name Future generation computer systems
Volume number 87
Start page 341
End page 350
Total pages 10
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2018-10
ISSN 0167-739X
Keyword(s) Science & Technology
Technology
Computer Science, Theory & Methods
Computer Science
Differential privacy
Homomorphic encryption
Outsourcing computation
Machine learning
PUBLIC-KEY CRYPTOSYSTEM
BACKPROPAGATION
ENCRYPTION
ALGORITHMS
SECURE
Language eng
DOI 10.1016/j.future.2018.04.076
Field of Research 0805 Distributed Computing
0806 Information Systems
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2018, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30113168

Document type: Journal Article
Collection: School of Information Technology
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