Adaptive networks

AH Sayed - Proceedings of the IEEE, 2014 - ieeexplore.ieee.org
This paper surveys recent advances related to adaptation, learning, and optimization over
networks. Various distributed strategies are discussed that enable a collection of networked …

[HTML][HTML] Adaptation, learning, and optimization over networks

AH Sayed - Foundations and Trends® in Machine Learning, 2014 - nowpublishers.com
This work deals with the topic of information processing over graphs. The presentation is
largely self-contained and covers results that relate to the analysis and design of multi-agent …

Diffusion LMS strategies for distributed estimation

FS Cattivelli, AH Sayed - IEEE transactions on signal …, 2009 - ieeexplore.ieee.org
We consider the problem of distributed estimation, where a set of nodes is required to
collectively estimate some parameter of interest from noisy measurements. The problem is …

Diffusion adaptation over networks

AH Sayed - Academic Press Library in Signal Processing, 2014 - Elsevier
Adaptive networks are well-suited to perform decentralized information processing and
optimization tasks and to model various types of self-organized and complex behavior …

Diffusion strategies outperform consensus strategies for distributed estimation over adaptive networks

SY Tu, AH Sayed - IEEE Transactions on Signal Processing, 2012 - ieeexplore.ieee.org
Adaptive networks consist of a collection of nodes with adaptation and learning abilities. The
nodes interact with each other on a local level and diffuse information across the network to …

Diffusion least-mean squares over adaptive networks: Formulation and performance analysis

CG Lopes, AH Sayed - IEEE Transactions on Signal Processing, 2008 - ieeexplore.ieee.org
We formulate and study distributed estimation algorithms based on diffusion protocols to
implement cooperation among individual adaptive nodes. The individual nodes are …

Quantized kernel least mean square algorithm

B Chen, S Zhao, P Zhu… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
In this paper, we propose a quantization approach, as an alternative of sparsification, to curb
the growth of the radial basis function structure in kernel adaptive filtering. The basic idea …

Incremental adaptive strategies over distributed networks

CG Lopes, AH Sayed - IEEE transactions on signal processing, 2007 - ieeexplore.ieee.org
An adaptive distributed strategy is developed based on incremental techniques. The
proposed scheme addresses the problem of linear estimation in a cooperative fashion, in …

Mean-square performance of a family of affine projection algorithms

HC Shin, AH Sayed - IEEE Transactions on Signal Processing, 2004 - ieeexplore.ieee.org
Affine projection algorithms are useful adaptive filters whose main purpose is to speed the
convergence of LMS-type filters. Most analytical results on affine projection algorithms …

A novel family of adaptive filtering algorithms based on the logarithmic cost

MO Sayin, ND Vanli, SS Kozat - IEEE Transactions on signal …, 2014 - ieeexplore.ieee.org
We introduce a novel family of adaptive filtering algorithms based on a relative logarithmic
cost inspired by the “competitive methods” from the online learning literature. The …