Collaborative classification mechanism for privacy-Preserving on horizontally partitioned data
We propose a novel two-party privacy-preserving classification solution called Collaborative Classification Mechanism for Privacy-preserving ( $ {\rm C}^{2}{\rm MP}^{2} $ ) over horizontally partitioned data that is inspired from the fact, that global and local learning can be independently executed...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2019-01-01
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| Series: | Automatika |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/00051144.2019.1578039 |