Title
Multitask diffusion adaptation over networks with common latent representations.
Abstract
Online learning with streaming data in a distributed and collaborative manner can be useful in a wide range of applications. This topic has been receiving considerable attention in recent years with emphasis on both single-task and multitask scenarios. In single-task adaptation, agents cooperate to track an objective of common interest, while in multitask adaptation agents track multiple objective...
Year
DOI
Venue
2017
10.1109/JSTSP.2017.2671789
IEEE Journal of Selected Topics in Signal Processing
Keywords
DocType
Volume
Estimation,Collaboration,Target tracking,Context,Adaptation models,Distributed algorithms,Electronic mail
Journal
11
Issue
ISSN
Citations 
3
1932-4553
7
PageRank 
References 
Authors
0.43
37
3
Name
Order
Citations
PageRank
Jie Chen175.50
Cédric Richard294071.61
Ali H. Sayed39134667.71