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 adaptation strategies for distributed optimization and learning over networks
We propose an adaptive diffusion mechanism to optimize global cost functions in a
distributed manner over a network of nodes. The cost function is assumed to consist of a …
distributed manner over a network of nodes. The cost function is assumed to consist of a …
Diffusion strategies for adaptation and learning over networks: an examination of distributed strategies and network behavior
Nature provides splendid examples of real-time learning and adaptation behavior that
emerges from highly localized interactions among agents of limited capabilities. For …
emerges from highly localized interactions among agents of limited capabilities. For …
A review of robust distributed estimation strategies over wireless sensor networks
Distributed estimation strategies over wireless sensor networks are one of the active areas
of research due to the wide range of applications in a variety of fields ranging from …
of research due to the wide range of applications in a variety of fields ranging from …
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 …
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 …
intensively studied distributed optimization problems in the case where the nodes have to …
Diffusion LMS over multitask networks
The diffusion LMS algorithm has been extensively studied in recent years. This efficient
strategy allows to address distributed optimization problems over networks in the case …
strategy allows to address distributed optimization problems over networks in the case …
Sparse distributed learning based on diffusion adaptation
P Di Lorenzo, AH Sayed - IEEE Transactions on signal …, 2012 - ieeexplore.ieee.org
This article proposes diffusion LMS strategies for distributed estimation over adaptive
networks that are able to exploit sparsity in the underlying system model. The approach …
networks that are able to exploit sparsity in the underlying system model. The approach …