MULTI-AGENT SOLVER FOR NON-NEGATIVE MATRIX FACTORIZATION BASED ON OPTIMIZATION

doi:10.14736/kyb-2021-1-0060

	MULTI-AGENT SOLVER FOR NON-NEGATIVE MATRIX FACTORIZATION BASED ON OPTIMIZATION
	Tu, Zhipeng 1; Li, Weijian 2
刊名	KYBERNETIKA
	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
DOI	10.14736/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
出版者	KYBERNETIKA
WOS记录号	WOS:000626598800005
内容类型	期刊论文
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.