Multitask Diffusion Adaptation Over Networks

Adaptive networks are suitable for decentralized inference tasks. Recent works have intensively studied distributed optimization problems in the case where the nodes have to estimate a single optimum parameter vector collaboratively. However, there are many important applications that are multitask-...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on signal processing 2014-08, Vol.62 (16), p.4129-4144
Main Authors: Jie Chen, Richard, Cedric, Sayed, Ali H.
Format: Article
Language:English
Subjects:
Adaptive systems
Algorithms
Applied sciences
Asymmetric regularization
Collaboration
collaborative processing
data unmixing
Detection, estimation, filtering, equalization, prediction
Diffusion
diffusion strategy
distributed optimization
Estimation
Exact sciences and technology
Indexes
Inference
Information, signal and communications theory
Mathematical analysis
Mean square error methods
Mean square errors
multitask learning
Networks
Optimization
Signal and communications theory
Signal, noise
Strategy
target localization
Telecommunications and information theory
Vectors
Vectors (mathematics)
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!