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Ali H. Sayed

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Ali H. Sayed

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Exact Diffusion for Distributed Optimization and Learning-Part I: Algorithm Development

Supervised Learning Under Distributed Features

A Regularization Framework for Learning Over Multitask Graphs

Team Policy Learning For Multi-Agent Reinforcement Learning

Graph Learning with Partial Observations: Role of Degree Concentration

Distributed Learning over Networks under Subspace Constraints

Polynomial Escape-Time From Saddle Points In Distributed Non-Convex Optimization

Consistent Tomography Under Partial Observations Over Adaptive Networks

Exact Diffusion for Distributed Optimization and Learning-Part II: Convergence Analysis

Variance-Reduced Stochastic Learning by Networked Agents Under Random Reshuffling