Paper Info
Title
Centralized and distributed online learning for sparse time-varying optimization
Abstract
The development of online algorithms to track time-varying systems has drawn a lot of attention in the last years, in particular in the framework of online convex optimization. Meanwhile, sparse time-varying optimization has emerged as a powerful tool to deal with widespread applications, ranging from dynamic compressed sensing to parsimonious system identification. In most of the literature on sp...
Year
DOI
Venue
2021
10.1109/TAC.2020.3010242
IEEE Transactions on Automatic Control
Keywords
DocType
Volume
Optimization,Heuristic algorithms,Convex functions,Time-varying systems,Target tracking,Signal processing algorithms
Journal
66
Issue
ISSN
Citations 
6
0018-9286
2
PageRank 
References 
Authors
0.40
9
1
Name
Order
Citations
PageRank
Sophie M. Fosson1448.96