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Paper Abstract and Keywords
Presentation 2020-11-25 16:10
Distributed convex optimization with inequality constraints over directed graphs based on row stochasticity
Hiroaki Sakuma, Naoki Hayashi, Shigemasa Takai (Osaka Univ.) CAS2020-22 MSS2020-14
Abstract (in Japanese) (See Japanese page) 
(in English) Distributed optimization is a method in which agents exchange information on the network to obtain the optimal solution when they know only a part of the constraints and the objective function of the optimization problem. Most of the existing distributed convex optimization algorithms with inequality constraints have been proven in situations where the weight matrix of the graph is a doubly stochastic matrix, but this is not always a feasible situation. In this paper, we propose a distributed convex optimization algorithm based on row stochasticity of the weight matrix that takes into account global inequality constraints over directed graphs. We show convergence to the optimal solution for the proposed algorithm and perform numerical experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) distributed optimization / directed graph / primal-dual perturbation method / row stochastic matrix / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 246, MSS2020-14, pp. 16-21, Nov. 2020.
Paper # MSS2020-14 
Date of Issue 2020-11-18 (CAS, MSS) 
ISSN 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 CAS2020-22 MSS2020-14

Conference Information
Committee MSS CAS IPSJ-AL  
Conference Date 2020-11-25 - 2020-11-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MSS 
Conference Code 2020-11-MSS-CAS-AL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Distributed convex optimization with inequality constraints over directed graphs based on row stochasticity 
Sub Title (in English)  
Keyword(1) distributed optimization  
Keyword(2) directed graph  
Keyword(3) primal-dual perturbation method  
Keyword(4) row stochastic matrix  
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1st Author's Name Hiroaki Sakuma  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Naoki Hayashi  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Shigemasa Takai  
3rd Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2020-11-25 16:10:00 
Presentation Time 25 minutes 
Registration for MSS 
Paper # CAS2020-22, MSS2020-14 
Volume (vol) vol.120 
Number (no) no.245(CAS), no.246(MSS) 
Page pp.16-21 
#Pages 6 
Date of Issue 2020-11-18 (CAS, MSS) 

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