753 citations · 5.3k across the 110 of their papers we have counts for
13 papers · 1 filter
Decentralized Decision-Making Over Multi-Task Networks
Sahar Khawatmi, Abdelhak M. Zoubir, Ali H. Sayed
In important applications involving multi-task networks with multiple objectives, agents in the network need to decide between these multiple objectives and reach an agreement abou…
Dynamic Average Diffusion with randomized Coordinate Updates
Bicheng Ying, Kun Yuan, Ali H. Sayed
This work derives and analyzes an online learning strategy for tracking the average of time-varying distributed signals by relying on randomized coordinate-descent updates. During…
Multi-Agent Fully Decentralized Value Function Learning with Linear Convergence Rates
Lucas Cassano, Kun Yuan, Ali H. Sayed
This work develops a fully decentralized multi-agent algorithm for policy evaluation. The proposed scheme can be applied to two distinct scenarios. In the first scenario, a collect…
A Proximal Diffusion Strategy for Multi-Agent Optimization with Sparse Affine Constraints
Sulaiman A. Alghunaim, Kun Yuan, Ali H. Sayed
This work develops a proximal primal-dual decentralized strategy for multi-agent optimization problems that involve multiple coupled affine constraints, where each constraint may i…
Learning Kolmogorov Models for Binary Random Variables
Hadi Ghauch, Mikael Skoglund, Hossein Shokri-Ghadikolaei +2
We summarize our recent findings, where we proposed a framework for learning a Kolmogorov model, for a collection of binary random variables. More specifically, we derive condition…
Supervised Learning Under Distributed Features
Bicheng Ying, Kun Yuan, Ali H. Sayed
This work studies the problem of learning under both large datasets and large-dimensional feature space scenarios. The feature information is assumed to be spread across agents in…