Multi-cloud privacy-preserving logistic regression

Multi-cloud privacy-preserving logistic regression

Clouds can significantly reduce the cost and time of business solutions. However, cloud services introduce significant security and privacy challenges when they process sensitive information. For instance, a dataset for machine learning could contain delicate information that traditional encryption...

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Bibliografiske detaljer
Главные авторы:	Babenko, M. G., Бабенко, М. Г.
Format:	Статья
Sprog:	English
Udgivet:	Springer Science and Business Media Deutschland GmbH 2022
Fag:	Cloud security Secure multi-party computation Homomorphic encryption Privacy-preserving logistic regression Residue number system (RNS) Quality control
Online adgang:	https://dspace.ncfu.ru/handle/20.500.12258/18617
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

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