On Distributed Online Classification in the Midst of Concept Drifts

Zaid J. Towfic, Jianshu Chen, Ali H. Sayed

Distributed Pareto Optimization via Diffusion Strategies

Jianshu Chen, Ali H. Sayed

Diffusion Adaptation Strategies for Distributed Optimization and Learning over Networks

Jianshu Chen, Ali H. Sayed

Dictionary Learning over Distributed Models

Jianshu Chen, Zaid J. Towfic, Ali H. Sayed

Distributed Learning in Non-Convex Environments -- Part II: Polynomial Escape from Saddle-Points

Stefan Vlaski, Ali H. Sayed

Distributed Coupled Multi-Agent Stochastic Optimization

Sulaiman A. Alghunaim, Ali H. Sayed

Social Learning over Weakly-Connected Graphs

Hawraa Salami, Bicheng Ying, Ali H. Sayed

Sparse Distributed Learning Based on Diffusion Adaptation

Paolo Di Lorenzo, Ali H. Sayed

Variance-Reduced Stochastic Learning under Random Reshuffling

Bicheng Ying, Kun Yuan, Ali H. Sayed

Wideband Spectrum Sensing in Cognitive Radio Networks

Zhi Quan, Shuguang Cui, Ali H. Sayed +1

Dynamic Average Diffusion with randomized Coordinate Updates

Bicheng Ying, Kun Yuan, Ali H. Sayed

Belief Control Strategies for Interactions over Weakly-Connected Graphs

Hawraa Salami, Bicheng Ying, Ali H. Sayed

Adaptive Penalty-Based Distributed Stochastic Convex Optimization

Zaid J. Towfic, Ali H. Sayed

Distributed Detection over Adaptive Networks: Refined Asymptotics and the Role of Connectivity

Vincenzo Matta, Paolo Braca, Stefano Marano +1

Information Exchange and Learning Dynamics over Weakly-Connected Adaptive Networks

Bicheng Ying, Ali H. Sayed

Distributed Learning for Stochastic Generalized Nash Equilibrium Problems

Chung-Kai Yu, Mihaela van der Schaar, Ali H. Sayed

Distributed Policy Evaluation Under Multiple Behavior Strategies

Sergio Valcarcel Macua, Jianshu Chen, Santiago Zazo +1

Stochastic Learning under Random Reshuffling with Constant Step-sizes

Bicheng Ying, Kun Yuan, Stefan Vlaski +1

Topology Inference over Networks with Nonlinear Coupling

Augusto Santos, Vincenzo Matta, Ali H. Sayed

Diffusion Adaptation over Networks under Imperfect Information Exchange and Non-stationary Data

Xiaochuan Zhao, Sheng-Yuan Tu, Ali H. Sayed

Information-Sharing over Adaptive Networks with Self-interested Agents

Chung-Kai Yu, Mihaela van der Schaar, Ali H. Sayed

Diffusion-Based Adaptive Distributed Detection: Steady-State Performance in the Slow Adaptation Regime

Vincenzo Matta, Paolo Braca, Stefano Marano +1

Asynchronous adaptive networks

Ali H. Sayed, Xiaochuan Zhao

Online Dual Coordinate Ascent Learning

Bicheng Ying, Kun Yuan, Ali H. Sayed

Distributed Learning in Non-Convex Environments -- Part I: Agreement at a Linear Rate

Stefan Vlaski, Ali H. Sayed

Multitask diffusion adaptation over networks with common latent representations

Jie Chen, Cédric Richard, Ali H. Sayed

Decentralized Clustering and Linking by Networked Agents

Sahar Khawatmi, Ali H. Sayed, Abdelhak M. Zoubir

Adaptation and learning over networks under subspace constraints -- Part II: Performance Analysis

Roula Nassif, Stefan Vlaski, Ali H. Sayed

Performance Limits of Stochastic Sub-Gradient Learning, Part I: Single Agent Case

Bicheng Ying, Ali H. Sayed

Excess-Risk of Distributed Stochastic Learners

Zaid J. Towfic, Jianshu Chen, Ali H. Sayed

Diffusion Adaptation over Networks

Ali H. Sayed

Learning Kolmogorov Models for Binary Random Variables

Hadi Ghauch, Mikael Skoglund, Hossein Shokri-Ghadikolaei +2

Decentralized Decision-Making Over Multi-Task Networks

Sahar Khawatmi, Abdelhak M. Zoubir, Ali H. Sayed

Detection under One-Bit Messaging over Adaptive Networks

Stefano Marano, Ali H. Sayed

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

Kun Yuan, Bicheng Ying, Xiaochuan Zhao +1

On the Influence of Momentum Acceleration on Online Learning

Kun Yuan, Bicheng Ying, Ali H. Sayed

Variance-Reduced Stochastic Learning by Networked Agents under Random Reshuffling

Kun Yuan, Bicheng Ying, Jiageng Liu +1

Spectrum sensing by cognitive radios at very low SNR

Zhi Quan, Stephen J. Shellhammer, Wenyi Zhang +1

Diffusion LMS for Multitask Problems with Local Linear Equality Constraints

Roula Nassif, Cédric Richard, André Ferrari +1

Consistent Tomography under Partial Observations over Adaptive Networks

Vincenzo Matta, Ali H. Sayed

Diffusion Strategies Outperform Consensus Strategies for Distributed Estimation over Adaptive Networks

Sheng-Yuan Tu, Ali H. Sayed

On the Influence of Informed Agents on Learning and Adaptation over Networks

Sheng-Yuan Tu, Ali H. Sayed

Performance Limits of Stochastic Sub-Gradient Learning, Part II: Multi-Agent Case

Bicheng Ying, Ali H. Sayed

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

Kun Yuan, Bicheng Ying, Xiaochuan Zhao +1

Decentralized Consensus Optimization with Asynchrony and Delays

Tianyu Wu, Kun Yuan, Qing Ling +2

Multi-Agent Fully Decentralized Value Function Learning with Linear Convergence Rates

Lucas Cassano, Kun Yuan, Ali H. Sayed

The paper proposes a fully decentralized multi‑agent algorithm for evaluating a common target policy, combining off‑policy learning, eligibility traces, and linear function approxi…

Stability and Performance Limits of Adaptive Primal-Dual Networks

Zaid J. Towfic, Ali H. Sayed