Ali H. Sayed

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 285

Top Venues

CoRR

ICASSP

IEEE Trans. Signal Process.

IEEE Signal Process. Mag.

Publications

Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
Detection of Malicious Agents in Social Learning. CoRR (2024)
Haoyuan Cai, Sulaiman A. Alghunaim, Ali H. Sayed
Accelerated Stochastic Min-Max Optimization Based on Bias-corrected Momentum. CoRR (2024)
Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
Social Learning in Community Structured Graphs. IEEE Trans. Signal Process. 72 (2024)
Haoyuan Cai, Sulaiman A. Alghunaim, Ali H. Sayed
Diffusion Stochastic Optimization for Min-Max Problems. CoRR (2024)
Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
Detection of Malicious Agents in Social Learning. IEEE Signal Process. Lett. 31 (2024)
Elsa Rizk, Kun Yuan, Ali H. Sayed
Asynchronous Diffusion Learning with Agent Subsampling and Local Updates. ICASSP (2024)
Ainur Zhaikhan, Ali H. Sayed
Multi-agent Off-policy Actor-Critic Reinforcement Learning for Partially Observable Environments. CoRR (2024)
Yishu Peng, Sheng Zhang, Zhengchun Zhou, Hongyang Chen, Ali H. Sayed
Diffusion Moving-Average Adaptation Over Networks. IEEE Trans. Signal Process. 72 (2024)
Mert Kayaalp, Yunus Inan, Emre Telatar, Ali H. Sayed
On the Arithmetic and Geometric Fusion of Beliefs for Distributed Inference. IEEE Trans. Autom. Control. 69 (4) (2024)
Mert Kayaalp, Yunus Inan, Visa Koivunen, Ali H. Sayed
Causal Influence in Federated Edge Inference. CoRR (2024)
Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
Differential error feedback for communication-efficient decentralized learning. CoRR (2024)
Marco Carpentiero, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
Social Learning with Adaptive Models. ICASSP (2024)
Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
Distributed Decision-Making for Community Structured Networks. ICASSP (2024)
H. Cai, Sulaiman A. Alghunaim, Ali H. Sayed
Diffusion Optimistic Learning for Min-Max Optimization. ICASSP (2024)
Elsa Rizk, Kun Yuan, Ali H. Sayed
Asynchronous Diffusion Learning with Agent Subsampling and Local Updates. CoRR (2024)
Ying Cao, Zhaoxian Wu, Kun Yuan, Ali H. Sayed
On the Trade-off between Flatness and Optimization in Distributed Learning. CoRR (2024)
Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Marc Antonini, Ali H. Sayed
Quantization for Decentralized Learning Under Subspace Constraints. IEEE Trans. Signal Process. 71 (2023)
Ainur Zhaikhan, Ali H. Sayed
Graph Exploration for Effective Multi-agent Q-Learning. CoRR (2023)
Stefan Vlaski, Soummya Kar, Ali H. Sayed, José M. F. Moura
Networked Signal and Information Processing: Learning by multiagent systems. IEEE Signal Process. Mag. 40 (5) (2023)
Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
Learning From Heterogeneous Data Based on Social Interactions Over Graphs. IEEE Trans. Inf. Theory 69 (5) (2023)
Virginia Bordignon, Mert Kayaalp, Vincenzo Matta, Ali H. Sayed
Social Learning with Non-Bayesian Local Updates. EUSIPCO (2023)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Enforcing Privacy in Distributed Learning With Performance Guarantees. IEEE Trans. Signal Process. 71 (2023)
Ping Hu, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
Optimal Aggregation Strategies for Social Learning Over Graphs. IEEE Trans. Inf. Theory 69 (9) (2023)
Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
Compressed Distributed Regression over Adaptive Networks. ICASSP (2023)
Ying Cao, Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Decentralized Adversarial Training over Graphs. CoRR (2023)
Ping Hu, Virginia Bordignon, Mert Kayaalp, Ali H. Sayed
Performance of Social Machine Learning Under Limited Data. ICASSP (2023)
Mert Kayaalp, Ali H. Sayed
Causal Influences over Social Learning Networks. CoRR (2023)
Ping Hu, Virginia Bordignon, Mert Kayaalp, Ali H. Sayed
Non-Asymptotic Performance of Social Machine Learning Under Limited Data. CoRR (2023)
Michele Cirillo, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
Memory-Aware Social Learning Under Partial Information Sharing. IEEE Trans. Signal Process. 71 (2023)
Michele Cirillo, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
The Role of Memory in Social Learning When Sharing Partial Opinions. ICASSP (2023)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Privatized graph federated learning. EURASIP J. Adv. Signal Process. 2023 (1) (2023)
Sheng Zhang, Hongyang Chen, Ali H. Sayed
Design of a Tap-Amplitude-Based Block Proportional Adaptive Filtering Algorithm. IEEE Trans. Signal Process. 71 (2023)
Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
Social Learning in Community Structured Graphs. CoRR (2023)
Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
Identifying Opinion Influencers over Social Networks. ICASSP (2023)
Mert Cemri, Virginia Bordignon, Mert Kayaalp, Valentina Shumovskaia, Ali H. Sayed
Asynchronous Social Learning. ICASSP (2023)
Mert Kayaalp, Yunus Inan, Visa Koivunen, Emre Telatar, Ali H. Sayed
On the Fusion Strategies for Federated Decision Making. CoRR (2023)
Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
Self-Aware Social Learning Over Graphs. IEEE Trans. Inf. Theory 69 (8) (2023)
Ying Cao, Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Multi-Agent Adversarial Training Using Diffusion Learning. ICASSP (2023)
Michele Cirillo, Vincenzo Matta, Ali H. Sayed
Estimating the Topology of Preferential Attachment Graphs Under Partial Observability. IEEE Trans. Inf. Theory 69 (2) (2023)
Michele Cirillo, Vincenzo Matta, Ali H. Sayed
Learning Dynamic Graphs under Partial Observability. ICASSP (2023)
Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
Compressed Regression over Adaptive Networks. CoRR (2023)
Ying Cao, Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Multi-Agent Adversarial Training Using Diffusion Learning. CoRR (2023)
Fuyi Huang, Sheng Zhang, Jiashu Zhang, Hongyang Chen, Ali H. Sayed
Diffusion Bayesian Decorrelation Algorithms Over Networks. IEEE Trans. Signal Process. 71 (2023)
Mert Kayaalp, Fatima Ghadieh, Ali H. Sayed
Policy Evaluation in Decentralized POMDPs with Belief Sharing. CoRR (2023)
Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
Partial Information Sharing Over Social Learning Networks. IEEE Trans. Inf. Theory 69 (3) (2023)
Mert Kayaalp, Yunus Inan, Visa Koivunen, Emre Telatar, Ali H. Sayed
On the Fusion Strategies for Federated Decision Making. SSP (2023)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Enforcing Privacy in Distributed Learning with Performance Guarantees. CoRR (2023)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Local Graph-Homomorphic Processing for Privatized Distributed Systems. ICASSP (2023)
Ali H. Sayed
2021 IEEE Signal Processing Society General Election Results for President-Elect, Members-at-Large, and Regional Directors-at-Large [Society News]. IEEE Signal Process. Mag. 39 (1) (2022)
Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
Social Learning with Disparate Hypotheses. EUSIPCO (2022)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Local Graph-homomorphic Processing for Privatized Distributed Systems. CoRR (2022)
Valentina Shumovskaia, Konstantinos Ntemos, Stefan Vlaski, Ali H. Sayed
Online Graph Learning from Social Interactions. CoRR (2022)
Yunus Inan, Mert Kayaalp, Emre Telatar, Ali H. Sayed
Social Learning under Randomized Collaborations. ISIT (2022)
Roula Nassif, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
Decentralized Learning in the Presence of Low-Rank Noise. ICASSP (2022)
Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
Adaptive Diffusion with Compressed Communication. ICASSP (2022)
Yunus Inan, Mert Kayaalp, Ali H. Sayed, Emre Telatar
A Fundamental Limit of Distributed Hypothesis Testing Under Memoryless Quantization. CoRR (2022)
Stefan Vlaski, Lieven Vandenberghe, Ali H. Sayed
Regularized Diffusion Adaptation via Conjugate Smoothing. IEEE Trans. Autom. Control. 67 (5) (2022)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Federated Learning Under Importance Sampling. IEEE Trans. Signal Process. 70 (2022)
Maha Issa, Roula Nassif, Elsa Rizk, Ali H. Sayed
Decentralized Semi-supervised Learning over Multitask Graphs. IEEECONF (2022)
Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
Distributed Bayesian Learning of Dynamic States. CoRR (2022)
Ping Hu, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
Optimal Aggregation Strategies for Social Learning over Graphs. CoRR (2022)
Zhuoyue Wang, Flávio R. M. Pavan, Ali H. Sayed
Decentralized GAN Training Through Diffusion Learning. MLSP (2022)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Privatized Graph Federated Learning. CoRR (2022)
Stefano Maranò, Ali H. Sayed
Decision-making algorithms for learning and adaptation with application to COVID-19 data. Signal Process. 194 (2022)
Mert Kayaalp, Virginia Bordignon, Ali H. Sayed
Random Information Sharing over Social Networks. CoRR (2022)
Yunus Inan, Mert Kayaalp, Ali H. Sayed, Emre Telatar
A Fundamental Limit of Distributed Hypothesis Testing Under Memoryless Quantization. ICC (2022)
Roula Nassif, Stefan Vlaski, Marc Antonini, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
Finite Bit Quantization for Decentralized Learning Under Subspace Constraints. EUSIPCO (2022)
Yunus Inan, Mert Kayaalp, Emre Telatar, Ali H. Sayed
Social Learning under Randomized Collaborations. CoRR (2022)
Stefan Vlaski, Ali H. Sayed
Second-Order Guarantees of Stochastic Gradient Descent in Nonconvex Optimization. IEEE Trans. Autom. Control. 67 (12) (2022)
Valentina Shumovskaia, Mert Kayaalp, Mert Cemri, Ali H. Sayed
Discovering Influencers in Opinion Formation over Social Graphs. CoRR (2022)
Roula Nassif, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
Dencentralized learning in the presence of low-rank noise. CoRR (2022)
Valentina Shumovskaia, Konstantinos Ntemos, Stefan Vlaski, Ali H. Sayed
Explainability and Graph Learning From Social Interactions. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Stefan Vlaski, Soummya Kar, Ali H. Sayed, José M. F. Moura
Networked Signal and Information Processing. CoRR (2022)
Ping Hu, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
Optimal Combination Policies for Adaptive Social Learning. ICASSP (2022)
Mert Kayaalp, Yunus Inan, Emre Telatar, Ali H. Sayed
On the Arithmetic and Geometric Fusion of Beliefs for Distributed Inference. CoRR (2022)
Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Marc Antonini, Ali H. Sayed
Quantization for decentralized learning under subspace constraints. CoRR (2022)
Mert Kayaalp, Stefan Vlaski, Ali H. Sayed
Distributed Meta-Learning with Networked Agents. EUSIPCO (2021)
Michele Cirillo, Vincenzo Matta, Ali H. Sayed
Learning Bollobás-Riordan Graphs Under Partial Observability. ICASSP (2021)
Stefan Vlaski, Ali H. Sayed
Distributed Learning in Non-Convex Environments - Part I: Agreement at a Linear Rate. IEEE Trans. Signal Process. 69 (2021)
Elsa Rizk, Ali H. Sayed
A Graph Federated Architecture with Privacy Preserving Learning. SPAWC (2021)
Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
Network Classifiers Based on Social Learning. ICASSP (2021)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Optimal Importance Sampling for Federated Learning. ICASSP (2021)
Sulaiman A. Alghunaim, Ernest K. Ryu, Kun Yuan, Ali H. Sayed
Decentralized Proximal Gradient Algorithms With Linear Convergence Rates. IEEE Trans. Autom. Control. 66 (6) (2021)
Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
Self-aware Social Learning over Graphs. CoRR (2021)
Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
Adaptive Social Learning. IEEE Trans. Inf. Theory 67 (9) (2021)
Stefan Vlaski, Ali H. Sayed
Distributed Learning in Non-Convex Environments - Part II: Polynomial Escape From Saddle-Points. IEEE Trans. Signal Process. 69 (2021)
Elsa Rizk, Ali H. Sayed
A Graph Federated Architecture with Privacy Preserving Learning. CoRR (2021)
Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
Social Learning Under Inferential Attacks. ICASSP (2021)
Valentina Shumovskaia, Konstantinos Ntemos, Stefan Vlaski, Ali H. Sayed
Online Graph Learning from Social Interactions. ACSCC (2021)
Lucas Cassano, Ali H. Sayed
Logical Team Q-learning: An approach towards factored policies in cooperative MARL. AISTATS (2021)
Sulaiman A. Alghunaim, Qi Lyu, Ming Yan, Ali H. Sayed
Dual Consensus Proximal Algorithm for Multi-Agent Sharing Problems. IEEE Trans. Signal Process. 69 (2021)
Stefan Vlaski, Ali H. Sayed
Competing Adaptive Networks. CoRR (2021)
Sheng Zhang, Fenglian Zhang, Hongyang Chen, Ricardo Merched, Ali H. Sayed
Frequency-Domain Diffusion Adaptation Over Networks. IEEE Trans. Signal Process. 69 (2021)
Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
Distributed Adaptive Learning Under Communication Constraints. CoRR (2021)
Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
Learning from Heterogeneous Data Based on Social Interactions over Graphs. CoRR (2021)
Jerónimo Arenas-García, Luis Antonio Azpicueta-Ruiz, Magno T. M. Silva, Vítor H. Nascimento, Ali H. Sayed
Combinations of Adaptive Filters. CoRR (2021)
Lucas Cassano, Kun Yuan, Ali H. Sayed
Multiagent Fully Decentralized Value Function Learning With Linear Convergence Rates. IEEE Trans. Autom. Control. 66 (4) (2021)
Stefan Vlaski, Ali H. Sayed
Graph-Homomorphic Perturbations for Private Decentralized Learning. ICASSP (2021)
Y. Efe Erginbas, Stefan Vlaski, Ali H. Sayed
Gramian-Based Adaptive Combination Policies for Diffusion Learning Over Networks. ICASSP (2021)
Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
Deception in Social Learning. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ali H. Sayed