753 citations · 5.3k across the 110 of their papers we have counts for
6 papers · 1 filter
Distributed Pareto Optimization via Diffusion Strategies
Jianshu Chen, Ali H. Sayed
We consider solving multi-objective optimization problems in a distributed manner by a network of cooperating and learning agents. The problem is equivalent to optimizing a global…
Performance Limits for Distributed Estimation Over LMS Adaptive Networks
Xiaochuan Zhao, Ali H. Sayed
In this work we analyze the mean-square performance of different strategies for distributed estimation over least-mean-squares (LMS) adaptive networks. The results highlight some u…
Sparse Distributed Learning Based on Diffusion Adaptation
Paolo Di Lorenzo, Ali H. Sayed
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 reli…
Diffusion Adaptation over Networks
Ali H. Sayed
Adaptive networks are well-suited to perform decentralized information processing and optimization tasks and to model various types of self-organized and complex behavior encounter…
Diffusion Strategies Outperform Consensus Strategies for Distributed Estimation over Adaptive Networks
Sheng-Yuan Tu, Ali H. Sayed
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 ne…
On the Influence of Informed Agents on Learning and Adaptation over Networks
Sheng-Yuan Tu, Ali H. Sayed
Adaptive networks consist of a collection of agents with adaptation and learning abilities. The agents interact with each other on a local level and diffuse information across the…