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- Title
MULTI-AGENT SOLVER FOR NON-NEGATIVE MATRIX FACTORIZATION BASED ON OPTIMIZATION.
- Authors
ZHIPENG TU; WEIJIAN LI
- Abstract
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 com- plexity analysis and numerical examples that our distributed NMF algorithm performs well in comparison with the centralized NMF algorithm.
- Subjects
MATRIX decomposition; NONNEGATIVE matrices; FACTORIZATION; NUMERICAL analysis; ALGORITHMS; DISTRIBUTED algorithms
- Publication
Kybernetika, 2021, Vol 57, Issue 1, p60
- ISSN
0023-5954
- Publication type
Article
- DOI
10.14736/kyb-2021-1-0060