中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
MULTI-AGENT SOLVER FOR NON-NEGATIVE MATRIX FACTORIZATION BASED ON OPTIMIZATION

文献类型:期刊论文

作者Tu, Zhipeng1; Li, Weijian2
刊名KYBERNETIKA
出版日期2021
卷号57期号:1页码:60-77
关键词distributed optimization non-negative matrix factorization multiplicative update rules multi-agent network
ISSN号0023-5954
DOI10.14736/kyb-2021-1-0060
英文摘要This paper investigates a distributed solver for non-negative matrix factorization (NMF) over a multi-agent network. After reformulating the problem into the standard distributed optimization form, we design our distributed algorithm (DisNMF) based on the primal-dual method and in the form of multiplicative update rule. With the help of auxiliary functions, we provide monotonic convergence analysis. Furthermore, we show by computational complexity analysis and numerical examples that our distributed NMF algorithm performs well in comparison with the centralized NMF algorithm.
资助项目NSFC[61733018] ; National Key Research and Development Program[2016YFB0901900]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000626598800005
出版者KYBERNETIKA
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/58269]  
专题中国科学院数学与系统科学研究院
通讯作者Tu, Zhipeng
作者单位1.Univ Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
2.Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
推荐引用方式
GB/T 7714
Tu, Zhipeng,Li, Weijian. MULTI-AGENT SOLVER FOR NON-NEGATIVE MATRIX FACTORIZATION BASED ON OPTIMIZATION[J]. KYBERNETIKA,2021,57(1):60-77.
APA Tu, Zhipeng,&Li, Weijian.(2021).MULTI-AGENT SOLVER FOR NON-NEGATIVE MATRIX FACTORIZATION BASED ON OPTIMIZATION.KYBERNETIKA,57(1),60-77.
MLA Tu, Zhipeng,et al."MULTI-AGENT SOLVER FOR NON-NEGATIVE MATRIX FACTORIZATION BASED ON OPTIMIZATION".KYBERNETIKA 57.1(2021):60-77.

入库方式: OAI收割

来源:数学与系统科学研究院

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