Privacy-preserving logistic regression training

Privacy-preserving logistic regression training

Abstract Background Logistic regression is a popular technique used in machine learning to construct classification models. Since the construction of such models is based on computing with large datasets, it is an appealing idea to outsource this computation to a cloud service. The privacy-sensitive...

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Bibliographic Details
Main Authors: Charlotte Bonte, Frederik Vercauteren
Format: Article
Language:English
Published: BMC 2018-10-01
Series:BMC Medical Genomics
Subjects:
Homomorphic encryption
Logistic regression
Privacy
Fixed Hessian
Online Access:http://link.springer.com/article/10.1186/s12920-018-0398-y

Internet

http://link.springer.com/article/10.1186/s12920-018-0398-y

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