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 …
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 …
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 …
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 …
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 …
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
We formulate and study distributed estimation algorithms based on diffusion protocols to
implement cooperation among individual adaptive nodes. The individual nodes are …
implement cooperation among individual adaptive nodes. The individual nodes are …
Quantized kernel least mean square algorithm
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 …
the growth of the radial basis function structure in kernel adaptive filtering. The basic idea …
Incremental adaptive strategies over distributed networks
An adaptive distributed strategy is developed based on incremental techniques. The
proposed scheme addresses the problem of linear estimation in a cooperative fashion, in …
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 …
convergence of LMS-type filters. Most analytical results on affine projection algorithms …
A novel family of adaptive filtering algorithms based on the logarithmic cost
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 …
cost inspired by the “competitive methods” from the online learning literature. The …