[HTML][HTML] Distributed estimation over a low-cost sensor network: A review of state-of-the-art
Proliferation of low-cost, lightweight, and power efficient sensors and advances in networked
systems enable the employment of multiple sensors. Distributed estimation provides a …
systems enable the employment of multiple sensors. Distributed estimation provides a …
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 …
Fully decentralized multi-agent reinforcement learning with networked agents
We consider the fully decentralized multi-agent reinforcement learning (MARL) problem,
where the agents are connected via a time-varying and possibly sparse communication …
where the agents are connected via a time-varying and possibly sparse communication …
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 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 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 …
Diffusion strategies for distributed Kalman filtering and smoothing
FS Cattivelli, AH Sayed - IEEE Transactions on automatic …, 2010 - ieeexplore.ieee.org
We study the problem of distributed Kalman filtering and smoothing, where a set of nodes is
required to estimate the state of a linear dynamic system from in a collaborative manner. Our …
required to estimate the state of a linear dynamic system from in a collaborative manner. Our …
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 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 …