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Paper Abstract and Keywords
Presentation 2016-01-22 16:05
a Note on a Privacy-Preserving Method for Distributed Regularized Logistic Regression
Hideyuki Masui, Nozomi Miya, Toshiyasu Matsushima (Waseda Univ.) PRMU2015-131 MVE2015-53
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we study a privacy-preserving logistic regression. We consider the situation that two users have different data. They want to calculate an L1 regularized estimator without showing their data each other. The protocol was proposed for such a situation. However, in each iteration, this protocol has to send information between two users until estimator has been converged. Furthermore, when we consider the case of logistic regression, we have to use iterative method to determine information to send and need much calculation time. We propose a protocol which guarantees equal security to existing protocol and reduces the number of times to send information and reduces calculation time.
Keyword (in Japanese) (See Japanese page) 
(in English) privacy-preserving data mining / regularized logistic regression / Bregman ADMM / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 414, PRMU2015-131, pp. 281-286, Jan. 2016.
Paper # PRMU2015-131 
Date of Issue 2016-01-14 (PRMU, MVE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF PRMU2015-131 MVE2015-53

Conference Information
Committee PRMU IPSJ-CVIM MVE  
Conference Date 2016-01-21 - 2016-01-22 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2016-01-PRMU-CVIM-MVE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) a Note on a Privacy-Preserving Method for Distributed Regularized Logistic Regression 
Sub Title (in English)  
Keyword(1) privacy-preserving data mining  
Keyword(2) regularized logistic regression  
Keyword(3) Bregman ADMM  
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1st Author's Name Hideyuki Masui  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Nozomi Miya  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Toshiyasu Matsushima  
3rd Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2016-01-22 16:05:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2015-131, MVE2015-53 
Volume (vol) vol.115 
Number (no) no.414(PRMU), no.415(MVE) 
Page pp.281-286 
#Pages 6 
Date of Issue 2016-01-14 (PRMU, MVE) 

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