Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System

Reference : Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/45091

Title :	Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System
Language :	English
Author, co-author :	Cortés-Mendoza, Jorge [South Ural State University > Computer Science]
	Tchernykh, Andrei [CICESE Research Center, Ensenada Mexico > Computer Science]
	Babenko, Mikhail [Ivannikov Institute for System Programming, Moscow, Russia]
	Pulido-Gaytan, Luis Bernardo [CICESE Research Center, Ensenada, Mexico]
	Radchenko, Gleb [South Ural State University, Chelyabinsk, Russia]
	Leprevost, Franck [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
	Wang, Xinheng [Xi'an Jiaotong-Liverpool University, Suzhou, China]
	Avetisyan, Arutyun [Ivannikov Institute for System Programming, Moscow, Russia]
Publication date :	Dec-2020
Main document title :	6th Russian Supercomputing Days, Moscow 21-22 September 2020
Editor :	Voevodin, Vladimir
	Sobolev, Sergey
Publisher :	Springer
Pages :	598-610
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	6th Russian Supercomputing Days
Event date :	from 21-09-2020 to 22-09-2020
Event place (city) :	Moscow
Event country :	Russia
Permalink :	http://hdl.handle.net/10993/45091
DOI :	10.1007/978-3-030-64616-5_51

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Open access	HE RSCD 2020_submitted .pdf		Publisher postprint	357.47 kB	View/Open

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