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Ali H. Sayed
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2020 – today
- 2025
- [j270]Ping Hu, Virginia Bordignon, Mert Kayaalp, Ali H. Sayed:
Non-asymptotic performance of social machine learning under limited data. Signal Process. 230: 109849 (2025) - [j269]Haoyuan Cai
, Sulaiman A. Alghunaim
, Ali H. Sayed
:
Diffusion Stochastic Optimization for Min-Max Problems. IEEE Trans. Signal Process. 73: 259-274 (2025) - 2024
- [j268]Valentina Shumovskaia
, Mert Kayaalp
, Ali H. Sayed
:
Detection of Malicious Agents in Social Learning. IEEE Signal Process. Lett. 31: 1745-1749 (2024) - [j267]Virginia Bordignon
, Vincenzo Matta
, Ali H. Sayed
:
Socially Intelligent Networks: A framework for decision making over graphs. IEEE Signal Process. Mag. 41(4): 20-39 (2024) - [j266]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): 2265-2280 (2024) - [j265]Marco Carpentiero
, Vincenzo Matta
, Ali H. Sayed
:
Compressed Regression Over Adaptive Networks. IEEE Trans. Signal Inf. Process. over Networks 10: 851-867 (2024) - [j264]Valentina Shumovskaia
, Mert Kayaalp
, Ali H. Sayed
:
Social Learning in Community Structured Graphs. IEEE Trans. Signal Process. 72: 2812-2826 (2024) - [j263]Yishu Peng
, Sheng Zhang
, Zhengchun Zhou
, Hongyang Chen
, Ali H. Sayed
:
Diffusion Moving-Average Adaptation Over Networks. IEEE Trans. Signal Process. 72: 3393-3407 (2024) - [j262]Mert Kayaalp
, Yunus Inan
, Visa Koivunen
, Ali H. Sayed
:
Causal Influence in Federated Edge Inference. IEEE Trans. Signal Process. 72: 5604-5615 (2024) - [c252]Malek Khammassi, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed:
Adaptive Social Learning for Tracking Rare Transition Markov Chains. EUSIPCO 2024: 1032-1036 - [c251]H. Cai, Sulaiman A. Alghunaim, Ali H. Sayed:
Diffusion Optimistic Learning for Min-Max Optimization. ICASSP 2024: 5535-5539 - [c250]Elsa Rizk, Kun Yuan, Ali H. Sayed:
Asynchronous Diffusion Learning with Agent Subsampling and Local Updates. ICASSP 2024: 9246-9250 - [c249]Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed:
Distributed Decision-Making for Community Structured Networks. ICASSP 2024: 9316-9320 - [c248]Marco Carpentiero, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed:
Social Learning with Adaptive Models. ICASSP 2024: 9351-9355 - [c247]Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed:
Differential Error Feedback for Communication-Efficient Decentralized Optimization. SAM 2024: 1-5 - [c246]Mert Kayaalp, Yunus Inan, Visa Koivunen, Ali H. Sayed:
Causal Impact Analysis for Asynchronous Decision Making. ISIT 2024: 1641-1645 - [c245]Marco Carpentiero, Vincenzo Matta, Stefan Vlaski, Ali H. Sayed:
Decentralized Fusion of Experts Over Networks. MLSP 2024: 1-6 - [c244]Roula Nassif, Marco Carpentiero, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed:
Matching centralized learning performance via compressed decentralized learning with error feedback. SPAWC 2024: 431-435 - [i138]Haoyuan Cai, Sulaiman A. Alghunaim, Ali H. Sayed:
Diffusion Stochastic Optimization for Min-Max Problems. CoRR abs/2401.14585 (2024) - [i137]Elsa Rizk, Kun Yuan, Ali H. Sayed:
Asynchronous Diffusion Learning with Agent Subsampling and Local Updates. CoRR abs/2402.05529 (2024) - [i136]Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed:
Detection of Malicious Agents in Social Learning. CoRR abs/2403.12619 (2024) - [i135]Mert Kayaalp, Yunus Inan, Visa Koivunen, Ali H. Sayed:
Causal Influence in Federated Edge Inference. CoRR abs/2405.01260 (2024) - [i134]Haoyuan Cai, Sulaiman A. Alghunaim, Ali H. Sayed:
Accelerated Stochastic Min-Max Optimization Based on Bias-corrected Momentum. CoRR abs/2406.13041 (2024) - [i133]Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed:
Differential error feedback for communication-efficient decentralized learning. CoRR abs/2406.18418 (2024) - [i132]Ying Cao, Zhaoxian Wu, Kun Yuan, Ali H. Sayed:
On the Trade-off between Flatness and Optimization in Distributed Learning. CoRR abs/2406.20006 (2024) - [i131]Ainur Zhaikhan, Ali H. Sayed:
Multi-agent Off-policy Actor-Critic Reinforcement Learning for Partially Observable Environments. CoRR abs/2407.04974 (2024) - 2023
- [j261]Elsa Rizk
, Stefan Vlaski
, Ali H. Sayed:
Privatized graph federated learning. EURASIP J. Adv. Signal Process. 2023(1): 87 (2023) - [j260]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): 92-105 (2023) - [j259]Michele Cirillo
, Vincenzo Matta
, Ali H. Sayed
:
Estimating the Topology of Preferential Attachment Graphs Under Partial Observability. IEEE Trans. Inf. Theory 69(2): 1355-1380 (2023) - [j258]Virginia Bordignon
, Vincenzo Matta
, Ali H. Sayed
:
Partial Information Sharing Over Social Learning Networks. IEEE Trans. Inf. Theory 69(3): 2033-2058 (2023) - [j257]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): 3347-3371 (2023) - [j256]Konstantinos Ntemos
, Virginia Bordignon
, Stefan Vlaski
, Ali H. Sayed
:
Self-Aware Social Learning Over Graphs. IEEE Trans. Inf. Theory 69(8): 5299-5317 (2023) - [j255]Ping Hu
, Virginia Bordignon
, Stefan Vlaski
, Ali H. Sayed
:
Optimal Aggregation Strategies for Social Learning Over Graphs. IEEE Trans. Inf. Theory 69(9): 6048-6070 (2023) - [j254]Fuyi Huang
, Sheng Zhang
, Jiashu Zhang
, Hongyang Chen
, Ali H. Sayed
:
Diffusion Bayesian Decorrelation Algorithms Over Networks. IEEE Trans. Signal Process. 71: 571-586 (2023) - [j253]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: 2320-2335 (2023) - [j252]Sheng Zhang
, Hongyang Chen
, Ali H. Sayed
:
Design of a Tap-Amplitude-Based Block Proportional Adaptive Filtering Algorithm. IEEE Trans. Signal Process. 71: 2448-2459 (2023) - [j251]Michele Cirillo
, Virginia Bordignon
, Vincenzo Matta
, Ali H. Sayed
:
Memory-Aware Social Learning Under Partial Information Sharing. IEEE Trans. Signal Process. 71: 2833-2848 (2023) - [j250]Elsa Rizk
, Stefan Vlaski
, Ali H. Sayed
:
Enforcing Privacy in Distributed Learning With Performance Guarantees. IEEE Trans. Signal Process. 71: 3385-3398 (2023) - [c243]Virginia Bordignon, Mert Kayaalp, Vincenzo Matta, Ali H. Sayed:
Social Learning with Non-Bayesian Local Updates. EUSIPCO 2023: 1-5 - [c242]Ying Cao, Elsa Rizk, Stefan Vlaski
, Ali H. Sayed:
Multi-Agent Adversarial Training Using Diffusion Learning. ICASSP 2023: 1-5 - [c241]Marco Carpentiero, Vincenzo Matta, Ali H. Sayed:
Compressed Distributed Regression over Adaptive Networks. ICASSP 2023: 1-5 - [c240]Mert Cemri, Virginia Bordignon, Mert Kayaalp, Valentina Shumovskaia, Ali H. Sayed:
Asynchronous Social Learning. ICASSP 2023: 1-5 - [c239]Michele Cirillo, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed:
The Role of Memory in Social Learning When Sharing Partial Opinions. ICASSP 2023: 1-5 - [c238]Michele Cirillo, Vincenzo Matta, Ali H. Sayed:
Learning Dynamic Graphs under Partial Observability. ICASSP 2023: 1-5 - [c237]Ping Hu, Virginia Bordignon, Mert Kayaalp, Ali H. Sayed:
Performance of Social Machine Learning Under Limited Data. ICASSP 2023: 1-5 - [c236]Elsa Rizk, Stefan Vlaski
, Ali H. Sayed:
Local Graph-Homomorphic Processing for Privatized Distributed Systems. ICASSP 2023: 1-5 - [c235]Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed:
Identifying Opinion Influencers over Social Networks. ICASSP 2023: 1-5 - [c234]Mert Kayaalp, Yunus Inan, Visa Koivunen, Emre Telatar, Ali H. Sayed:
On the Fusion Strategies for Federated Decision Making. SSP 2023: 270-274 - [i130]Elsa Rizk, Stefan Vlaski, Ali H. Sayed:
Enforcing Privacy in Distributed Learning with Performance Guarantees. CoRR abs/2301.06412 (2023) - [i129]Mert Kayaalp, Fatima Ghadieh
, Ali H. Sayed:
Policy Evaluation in Decentralized POMDPs with Belief Sharing. CoRR abs/2302.04151 (2023) - [i128]Ying Cao, Elsa Rizk, Stefan Vlaski, Ali H. Sayed:
Multi-Agent Adversarial Training Using Diffusion Learning. CoRR abs/2303.01936 (2023) - [i127]Mert Kayaalp, Yunus Inan, Visa Koivunen, Emre Telatar, Ali H. Sayed:
On the Fusion Strategies for Federated Decision Making. CoRR abs/2303.06109 (2023) - [i126]Ying Cao, Elsa Rizk, Stefan Vlaski, Ali H. Sayed:
Decentralized Adversarial Training over Graphs. CoRR abs/2303.13326 (2023) - [i125]Marco Carpentiero, Vincenzo Matta, Ali H. Sayed:
Compressed Regression over Adaptive Networks. CoRR abs/2304.03638 (2023) - [i124]Ainur Zhaikhan, Ali H. Sayed:
Graph Exploration for Effective Multi-agent Q-Learning. CoRR abs/2304.09547 (2023) - [i123]Ping Hu, Virginia Bordignon, Mert Kayaalp, Ali H. Sayed:
Non-Asymptotic Performance of Social Machine Learning Under Limited Data. CoRR abs/2306.09397 (2023) - [i122]Mert Kayaalp, Ali H. Sayed:
Causal Influences over Social Learning Networks. CoRR abs/2307.09575 (2023) - [i121]Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed:
Social Learning in Community Structured Graphs. CoRR abs/2312.12186 (2023) - 2022
- [j249]Stefano Maranò, Ali H. Sayed:
Decision-making algorithms for learning and adaptation with application to COVID-19 data. Signal Process. 194: 108426 (2022) - [j248]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): 7-15 (2022) - [j247]Stefan Vlaski
, Lieven Vandenberghe
, Ali H. Sayed
:
Regularized Diffusion Adaptation via Conjugate Smoothing. IEEE Trans. Autom. Control. 67(5): 2343-2358 (2022) - [j246]Stefan Vlaski
, Ali H. Sayed
:
Second-Order Guarantees of Stochastic Gradient Descent in Nonconvex Optimization. IEEE Trans. Autom. Control. 67(12): 6489-6504 (2022) - [j245]Valentina Shumovskaia
, Konstantinos Ntemos
, Stefan Vlaski
, Ali H. Sayed
:
Explainability and Graph Learning From Social Interactions. IEEE Trans. Signal Inf. Process. over Networks 8: 946-959 (2022) - [j244]Elsa Rizk
, Stefan Vlaski
, Ali H. Sayed
:
Federated Learning Under Importance Sampling. IEEE Trans. Signal Process. 70: 5381-5396 (2022) - [c233]Maha Issa
, Roula Nassif, Elsa Rizk, Ali H. Sayed:
Decentralized Semi-supervised Learning over Multitask Graphs. IEEECONF 2022: 419-425 - [c232]Roula Nassif, Stefan Vlaski, Marc Antonini, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed:
Finite Bit Quantization for Decentralized Learning Under Subspace Constraints. EUSIPCO 2022: 1851-1855 - [c231]Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed:
Social Learning with Disparate Hypotheses. EUSIPCO 2022: 2171-2175 - [c230]Roula Nassif, Virginia Bordignon, Stefan Vlaski
, Ali H. Sayed:
Decentralized Learning in the Presence of Low-Rank Noise. ICASSP 2022: 5667-5671 - [c229]Marco Carpentiero, Vincenzo Matta, Ali H. Sayed:
Adaptive Diffusion with Compressed Communication. ICASSP 2022: 5672-5676 - [c228]Ping Hu, Virginia Bordignon, Stefan Vlaski
, Ali H. Sayed:
Optimal Combination Policies for Adaptive Social Learning. ICASSP 2022: 5842-5846 - [c227]Yunus Inan, Mert Kayaalp, Ali H. Sayed, Emre Telatar:
A Fundamental Limit of Distributed Hypothesis Testing Under Memoryless Quantization. ICC 2022: 4824-4829 - [c226]Yunus Inan, Mert Kayaalp, Emre Telatar, Ali H. Sayed:
Social Learning under Randomized Collaborations. ISIT 2022: 115-120 - [c225]Zhuoyue Wang, Flávio R. M. Pavan
, Ali H. Sayed:
Decentralized GAN Training Through Diffusion Learning. MLSP 2022: 1-6 - [i120]Yunus Inan, Mert Kayaalp, Emre Telatar, Ali H. Sayed:
Social Learning under Randomized Collaborations. CoRR abs/2201.10957 (2022) - [i119]Mert Kayaalp, Virginia Bordignon, Ali H. Sayed:
Random Information Sharing over Social Networks. CoRR abs/2203.02466 (2022) - [i118]Valentina Shumovskaia, Konstantinos Ntemos, Stefan Vlaski, Ali H. Sayed:
Online Graph Learning from Social Interactions. CoRR abs/2203.06007 (2022) - [i117]Ping Hu, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed:
Optimal Aggregation Strategies for Social Learning over Graphs. CoRR abs/2203.07065 (2022) - [i116]Elsa Rizk, Stefan Vlaski, Ali H. Sayed:
Privatized Graph Federated Learning. CoRR abs/2203.07105 (2022) - [i115]Roula Nassif, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed:
Dencentralized learning in the presence of low-rank noise. CoRR abs/2203.09810 (2022) - [i114]Mert Kayaalp, Yunus Inan, Emre Telatar, Ali H. Sayed:
On the Arithmetic and Geometric Fusion of Beliefs for Distributed Inference. CoRR abs/2204.13741 (2022) - [i113]Yunus Inan, Mert Kayaalp, Ali H. Sayed, Emre Telatar:
A Fundamental Limit of Distributed Hypothesis Testing Under Memoryless Quantization. CoRR abs/2206.12232 (2022) - [i112]Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Marc Antonini, Ali H. Sayed:
Quantization for decentralized learning under subspace constraints. CoRR abs/2209.07821 (2022) - [i111]Stefan Vlaski, Soummya Kar
, Ali H. Sayed, José M. F. Moura:
Networked Signal and Information Processing. CoRR abs/2210.13767 (2022) - [i110]Elsa Rizk, Stefan Vlaski, Ali H. Sayed:
Local Graph-homomorphic Processing for Privatized Distributed Systems. CoRR abs/2210.15414 (2022) - [i109]Valentina Shumovskaia, Mert Kayaalp, Mert Cemri, Ali H. Sayed:
Discovering Influencers in Opinion Formation over Social Graphs. CoRR abs/2211.13292 (2022) - [i108]Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed:
Distributed Bayesian Learning of Dynamic States. CoRR abs/2212.02565 (2022) - 2021
- [j243]Lucas Cassano
, Kun Yuan
, Ali H. Sayed
:
Multiagent Fully Decentralized Value Function Learning With Linear Convergence Rates. IEEE Trans. Autom. Control. 66(4): 1497-1512 (2021) - [j242]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): 2787-2794 (2021) - [j241]Virginia Bordignon
, Vincenzo Matta
, Ali H. Sayed
:
Adaptive Social Learning. IEEE Trans. Inf. Theory 67(9): 6053-6081 (2021) - [j240]Stefan Vlaski
, Ali H. Sayed
:
Distributed Learning in Non-Convex Environments - Part I: Agreement at a Linear Rate. IEEE Trans. Signal Process. 69: 1242-1256 (2021) - [j239]Stefan Vlaski
, Ali H. Sayed
:
Distributed Learning in Non-Convex Environments - Part II: Polynomial Escape From Saddle-Points. IEEE Trans. Signal Process. 69: 1257-1270 (2021) - [j238]Stefano Maranò
, Ali H. Sayed
:
Decision Learning and Adaptation Over Multi-Task Networks. IEEE Trans. Signal Process. 69: 2873-2887 (2021) - [j237]Sheng Zhang
, Fenglian Zhang
, Hongyang Chen
, Ricardo Merched, Ali H. Sayed
:
Frequency-Domain Diffusion Adaptation Over Networks. IEEE Trans. Signal Process. 69: 5419-5430 (2021) - [j236]Sulaiman A. Alghunaim
, Qi Lyu, Ming Yan
, Ali H. Sayed
:
Dual Consensus Proximal Algorithm for Multi-Agent Sharing Problems. IEEE Trans. Signal Process. 69: 5568-5579 (2021) - [c224]Valentina Shumovskaia, Konstantinos Ntemos, Stefan Vlaski
, Ali H. Sayed:
Online Graph Learning from Social Interactions. ACSCC 2021: 1263-1267 - [c223]Lucas Cassano, Ali H. Sayed:
Logical Team Q-learning: An approach towards factored policies in cooperative MARL. AISTATS 2021: 667-675 - [c222]Mert Kayaalp, Stefan Vlaski
, Ali H. Sayed:
Distributed Meta-Learning with Networked Agents. EUSIPCO 2021: 1361-1365 - [c221]Elsa Rizk, Stefan Vlaski
, Ali H. Sayed:
Optimal Importance Sampling for Federated Learning. ICASSP 2021: 3095-3099 - [c220]Virginia Bordignon, Stefan Vlaski
, Vincenzo Matta, Ali H. Sayed:
Network Classifiers Based on Social Learning. ICASSP 2021: 5185-5189 - [c219]Y. Efe Erginbas, Stefan Vlaski
, Ali H. Sayed:
Gramian-Based Adaptive Combination Policies for Diffusion Learning Over Networks. ICASSP 2021: 5215-5219 - [c218]Stefan Vlaski
, Ali H. Sayed:
Graph-Homomorphic Perturbations for Private Decentralized Learning. ICASSP 2021: 5240-5244 - [c217]Michele Cirillo, Vincenzo Matta, Ali H. Sayed:
Learning Bollobás-Riordan Graphs Under Partial Observability. ICASSP 2021: 5360-5364 - [c216]Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski
, Ali H. Sayed:
Social Learning Under Inferential Attacks. ICASSP 2021: 5479-5483 - [c215]Elsa Rizk, Ali H. Sayed:
A Graph Federated Architecture with Privacy Preserving Learning. SPAWC 2021: 131-135 - [c214]Stefan Vlaski
, Ali H. Sayed:
Competing Adaptive Networks. SSP 2021: 71-75 - [i107]Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed:
Deception in Social Learning. CoRR abs/2103.14729 (2021) - [i106]Stefan Vlaski, Ali H. Sayed:
Competing Adaptive Networks. CoRR abs/2103.15664 (2021) - [i105]Elsa Rizk, Ali H. Sayed:
A Graph Federated Architecture with Privacy Preserving Learning. CoRR abs/2104.13215 (2021) - [i104]Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed:
Self-aware Social Learning over Graphs. CoRR abs/2110.13292 (2021) - [i103]Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed:
Hidden Markov Modeling over Graphs. CoRR abs/2111.13626 (2021) - [i102]Marco Carpentiero, Vincenzo Matta, Ali H. Sayed:
Distributed Adaptive Learning Under Communication Constraints. CoRR abs/2112.02129 (2021) - [i101]Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed:
Learning from Heterogeneous Data Based on Social Interactions over Graphs. CoRR abs/2112.09483 (2021) - [i100]Jerónimo Arenas-García, Luis Antonio Azpicueta-Ruiz, Magno T. M. Silva, Vítor H. Nascimento, Ali H. Sayed:
Combinations of Adaptive Filters. CoRR abs/2112.12245 (2021) - 2020
- [j235]Sulaiman A. Alghunaim, Ali H. Sayed:
Linear convergence of primal-dual gradient methods and their performance in distributed optimization. Autom. 117: 109003 (2020) - [j234]Stefan Vlaski
, Ali H. Sayed:
Second-order guarantees in centralized, federated and decentralized nonconvex optimization. Commun. Inf. Syst. 20(3): 353-388 (2020) - [j233]Usman A. Khan
, Waheed U. Bajwa
, Angelia Nedic
, Michael G. Rabbat, Ali H. Sayed
:
Optimization for Data-Driven Learning and Control. Proc. IEEE 108(11): 1863-1868 (2020) - [j232]Vincenzo Matta
, Augusto Santos
, Ali H. Sayed
:
Graph Learning Under Partial Observability. Proc. IEEE 108(11): 2049-2066 (2020) - [j231]Fei Hua
, Roula Nassif
, Cédric Richard
, Haiyan Wang, Ali H. Sayed
:
Diffusion LMS With Communication Delays: Stability and Performance Analysis.