Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System
Cortés-Mendoza, Jorge; Tchernykh, Andrei; Babenko, Mikhail et al.
2020In Voevodin, Vladimir; Sobolev, Sergey (Eds.) 6th Russian Supercomputing Days, Moscow 21-22 September 2020
Peer reviewed
 

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Disciplines :
Computer science
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
External co-authors :
yes
Language :
English
Title :
Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System
Publication date :
December 2020
Event name :
6th Russian Supercomputing Days
Event place :
Moscow, Russia
Event date :
from 21-09-2020 to 22-09-2020
Audience :
International
Main work title :
6th Russian Supercomputing Days, Moscow 21-22 September 2020
Editor :
Voevodin, Vladimir
Sobolev, Sergey
Publisher :
Springer
Pages :
598-610
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Available on ORBilu :
since 15 December 2020

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