Title
Decentralized RLS with Data-Adaptive Censoring for Regressions over Large-Scale Networks.
Abstract
The deluge of networked data motivates the development of algorithms for computation- and communication-efficient information processing. In this context, three data-adaptive censoring strategies are introduced to considerably reduce the computation and communication overhead of decentralized recursive least-squares solvers. The first relies on alternating minimization and the stochastic Newton it...
Year
DOI
Venue
2018
10.1109/TSP.2018.2795594
IEEE Transactions on Signal Processing
Keywords
DocType
Volume
Linear regression,Signal processing algorithms,Technological innovation,Wireless sensor networks,Electronic mail,Information processing,Estimation
Journal
66
Issue
ISSN
Citations 
6
1053-587X
3
PageRank 
References 
Authors
0.40
2
5
Name
Order
Citations
PageRank
Zifeng Wang13110.71
Zheng Yu230.40
Qing Ling396860.48
Dimitris Berberidis4457.47
Georgios B. Giannakis549729.65