Feb 11, 2017 · In this work, we study the distributed sparse multitask recursive least squares (RLS) problem over networks. We first propose a decentralized ...
Abstract—Distributed adaptive signal processing has attracted much attention in the recent decade owing to its effectiveness in many decentralized real-time ...
Feb 22, 2017 · Distributed adaptive signal processing has attracted much attention in the recent decade owing to its effectiveness in many decentralized ...
In this paper, we study the distributed sparse multitask recursive least squares (RLS) problem over networks. We first propose a decentralized online ...
In this paper, we study the distributed sparse multitask recursive least squares (RLS) problem over networks. We first propose a decentralized online ...
Bibliographic details on Decentralized Sparse Multitask RLS Over Networks.
BibTeX key: journals/tsp/CaoL17; entry type: article; year: 2017; journal: IEEE Trans. Signal Process. number: 23; pages: 6217-6232; volume: 65 ...
A distributed jointly sparse multitask algorithm for the collaborative sparse estimation problem is derived and an adaptive intertask cooperation strategy ...
In this paper, we study decentralized multitask recursive least squares, where each node in a network has an unknown weight vector to estimate.
Online Power Control for Distributed Multitask Learning Over Noisy Fading Wireless Channels. ... Decentralized Sparse Multitask RLS Over Networks. IEEE Trans.