Ali H. Sayed
EPFL STI IEL ASL
BM 4102 (Bâtiment BM)
Station 17
1015 Lausanne
+41 21 693 69 44
Office: BM 4102
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Website: https://asl.epfl.ch
+41 21 693 69 44
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Ali H. Sayed is Dean of Engineering at EPFL, Switzerland, where he also leads the Adaptive Systems Laboratory.
He has also served as Distinguished Professor and Chairman of Electrical Engineering at UCLA. He is recognized as a Highly Cited Researcher and is a member of the US National Academy of Engineering. He is also a member of the World Academy of Sciences and served as President of the IEEE Signal Processing Society during 2018 and 2019.
Dr. Sayed is an author/co-author of over 570 scholarly publications and six books. His research involves several areasincluding adaptation and learning theories, data and network sciences, statistical inference, and multiagent systems.
His work has been recognized with several major awards including the 2022 IEEE Fourier Award, the 2020 Norbert Wiener Society Award and the 2015 Education Award from the IEEE Signal Processing Society, the 2014 Papoulis Award from the European Association for Signal Processing, the 2013 Meritorious Service Award and the 2012 Technical Achievement Award from the IEEE Signal Processing Society, the 2005 Terman Award from the American Society for Engineering Education, the 2005 Distinguished Lecturer from the IEEE Signal Processing Society, the 2003 Kuwait Prize, and the 1996 IEEE Donald G. Fink Prize. His publications have been awarded several Best Paper Awards from the IEEE (2002, 2005, 2012, 2014) and EURASIP (2015). He is a Fellow of IEEE, EURASIP, and the American Association for the Advancement of Science (AAAS); the publisher of the journal Science.
He has also served as Distinguished Professor and Chairman of Electrical Engineering at UCLA. He is recognized as a Highly Cited Researcher and is a member of the US National Academy of Engineering. He is also a member of the World Academy of Sciences and served as President of the IEEE Signal Processing Society during 2018 and 2019.
Dr. Sayed is an author/co-author of over 570 scholarly publications and six books. His research involves several areasincluding adaptation and learning theories, data and network sciences, statistical inference, and multiagent systems.
His work has been recognized with several major awards including the 2022 IEEE Fourier Award, the 2020 Norbert Wiener Society Award and the 2015 Education Award from the IEEE Signal Processing Society, the 2014 Papoulis Award from the European Association for Signal Processing, the 2013 Meritorious Service Award and the 2012 Technical Achievement Award from the IEEE Signal Processing Society, the 2005 Terman Award from the American Society for Engineering Education, the 2005 Distinguished Lecturer from the IEEE Signal Processing Society, the 2003 Kuwait Prize, and the 1996 IEEE Donald G. Fink Prize. His publications have been awarded several Best Paper Awards from the IEEE (2002, 2005, 2012, 2014) and EURASIP (2015). He is a Fellow of IEEE, EURASIP, and the American Association for the Advancement of Science (AAAS); the publisher of the journal Science.
Editorial Services
- Founding Editor-in-Chief, Open Access Book Series on Information and Learning Sciences, NOW, 2021-
- Editor-in-Chief, EURASIP Journal on Advances in Signal Processing, Jan. 2006-Dec. 2007.
- Editor-in-Chief, IEEE Transactions on Signal Processing, Jan. 2003-Dec. 2005.
- Member of several editorial boards.
- Co-editorship of several special issues.
Honors & Recognitions
- IEEE Fourier Award, 2022.
- World Academy of Sciences, 2021.
- Norbert Wiener Society Award, IEEE Signal Processing Society, 2020.
- Fellow, European Association for Signal Processing, 2019
- US National Academy of Engineering, 2018.
- Education Award, IEEE Signal Processing Society, 2015.
- Leverhulme Visiting Professorship, United Kingdom, 2013-2015
- Papoulis Award, European Association for Signal Processing, 2014.
- Meritorious Service Award, IEEE Signal Processing Society, 2013.
- Fellow, American Association for the Advancement of Science, 2013.
- Technical Achievement Award, IEEE Signal Processing Society, 2012.
- Terman Award, American Society for Engineering Education, 2005.
- Distinguished Lecturer, IEEE Signal Processing Society, 2005
- Kuwait Prize in Basic Sciences, 2003
- Fellow, IEEE, 2001
- IEEE Donald G. Fink Prize, 1996
- Several Best Paper Awards
- Several Plenary Lectures
- Highly Cited Researcher
Research
Adaptation and learning theories, data and network sciences, statistical inference, adaptive networks, optimization, biologically-inspired models.
Awards
2022 IEEE Fourier Award
2021
Multi-agent Adversarial Training Using Diffusion Learning
2023. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island (Greece), 2023-06-04 - 2023-06-10. DOI : 10.1109/ICASSP49357.2023.10095963.Local Graph-homomorphic Processing for Privatized Distributed Systems
2023. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island (Greece), 2023-06-04 - 2023-06-10. DOI : 10.1109/ICASSP49357.2023.10095990.Policy Optimization in Multi-Agent Settings under Partially Observable Environments
IEEE Open Journal of Control Systems. 2026. DOI : 10.1109/ojcsys.2026.3651197.Doubly Adaptive Social Learning
IEEE Transactions on Signal Processing. 2025. DOI : 10.1109/tsp.2025.3644686.Multivariate Belief Formation for Distributed Multitask Learning
2025. 33rd European Signal Processing Conference, Palermo, Italy, 2025-09-08 - 2025-09-12. p. 1173 - 1177. DOI : 10.23919/eusipco63237.2025.11226738.Multi-agent Off-policy Actor-Critic Reinforcement Learning for Partially Observable Environments
IEEE Open Journal of Control Systems. 2025. DOI : 10.1109/ojcsys.2025.3636033.Minimizing the Probability of Error for Decision Making over Graphs
IEEE Open Journal of Signal Processing. 2025. DOI : 10.1109/ojsp.2025.3625863.Stability and Performance Analysis of Diffusion Learning for Two-Network Competing Problems
2025. IEEE 35th International Workshop on Machine Learning for Signal Processing, Istanbul, Turkiye, 2025-08-31 - 2025-09-03. DOI : 10.1109/mlsp62443.2025.11204300.Reinforcement Learning by Networked Agents
Lausanne, EPFL, 2025. DOI : 10.5075/epfl-thesis-10863.Adaptive Social Learning for Slow Markov Chains
IEEE Transactions on Signal Processing. 2025. DOI : 10.1109/tsp.2025.3606580.Masked Diffusion Strategy for Privacy-Preserving Distributed Learning
IEEE Transactions on Information Forensics and Security. 2025. DOI : 10.1109/TIFS.2025.3593357.Social Learning with Dependent Agents
2025. 2025 25th International Conference on Digital Signal Processing (DSP), Pylos (Messinia, Southwest Peloponnese), Greece, 2025-06-25 - 2025-06-27. p. 1 - 5. DOI : 10.1109/dsp65409.2025.11075137.On the Trade-off between Flatness and Optimization in Distributed Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2025. DOI : 10.1109/tpami.2025.3583104.Decentralized Adversarial Training over Graphs
IEEE Transactions on Information Theory. 2025. DOI : 10.1109/tit.2025.3569987.Differential error feedback for communication-efficient decentralized learning
IEEE Transactions on Signal Processing. 2025. DOI : 10.1109/tsp.2025.3564416.Fundamental Social Learning Scaling Law for Tracking Hidden Markov Models
2025. ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 2025-04-06 - 2025-04-11. p. 1 - 5. DOI : 10.1109/icassp49660.2025.10888523.Multi-Agent Reinforcement Learning in Partially Observable Environments Using Social Learning
2025. ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 2025-04-06 - 2025-04-11. p. 1 - 4. DOI : 10.1109/icassp49660.2025.10889252.Optimal Combination Policies for Error Exponent Maximization in Social Learning
2025. ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 2025-04-06 - 2025-04-11. p. 1 - 5. DOI : 10.1109/icassp49660.2025.10888519.Diffusion Learning Over Adaptive Competing Networks
2025. ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 2025-04-06 - 2025-04-11. p. 1 - 5. DOI : 10.1109/icassp49660.2025.10890006.Causal Impact Analysis for Asynchronous Decision Making
2024. 2024 IEEE International Symposium on Information Theory, Athens, Greece, 2024-07-07 - 2024-07-12. p. 1641 - 1645. DOI : 10.1109/ISIT57864.2024.10619126.Performance of Social Machine Learning under Limited Data
2023. 48th IEEE International Conference on Acoustics, Speech and Signal Processing, Rhodes Island, Greece, 2023-06-04 - 2023-06-10. DOI : 10.1109/ICASSP49357.2023.10097172.Social Learning with Adaptive Models
2024. 49th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, South Korea, 2024-04-14 - 2024-04-19. p. 9351 - 9355. DOI : 10.1109/ICASSP48485.2024.10447521.Asynchronous Social Learning
2023. 48th IEEE International Conference on Acoustics, Speech and Signal Processing, Rhodes Island, Greece, 2023-06-04 - 2023-06-10. DOI : 10.1109/ICASSP49357.2023.10096238.The Role of Memory in Social Learning When Sharing Partial Opinions
2023. 48th IEEE International Conference on Acoustics, Speech and Signal Processing, Rhodes Island, Greece, 2023-06-04 - 2023-06-10. DOI : 10.1109/ICASSP49357.2023.10096186.Compressed Distributed Regression over Adaptive Networks
2023. 48th IEEE International Conference on Acoustics, Speech and Signal Processing, Rhodes Island, Greece, 2023-06-04 - 2023-06-10. DOI : 10.1109/ICASSP49357.2023.10097010.Learning Dynamic Graphs under Partial Observability
2023. 48th IEEE International Conference on Acoustics, Speech and Signal Processing, Rhodes Island, Greece, 2023-06-04 - 2023-06-10. DOI : 10.1109/ICASSP49357.2023.10097221.Sequential Reasoning with Socially Caused Beliefs
Lausanne, EPFL, 2025. DOI : 10.5075/epfl-thesis-10489.Compressed Regression Over Adaptive Networks
IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS. 2024. DOI : 10.1109/TSIPN.2024.3464350.Memory-Aware Social Learning Under Partial Information Sharing
IEEE TRANSACTIONS ON SIGNAL PROCESSING. 2023. DOI : 10.1109/TSP.2023.3294615.Policy Evaluation in Decentralized POMDPs With Belief Sharing
IEEE OPEN JOURNAL OF CONTROL SYSTEMS. 2023. DOI : 10.1109/OJCSYS.2023.3277760.Matching centralized learning performance via compressed decentralized learning with error feedback
2024. 25 IEEE International Workshop on Signal Processing Advances in Wireless Communications, Lucca, Italy, 2024-09-10 - 2024-09-13. p. 431 - 435. DOI : 10.1109/SPAWC60668.2024.10694094.Differential Error Feedback for Communication-Efficient Decentralized Optimization
2024. 13 IEEE Sensor Array and Multichannel Signal Processing Workshop, Corvallis, United States, 2024-07-08 - 2024-07-11. DOI : 10.1109/SAM60225.2024.10636509.Adaptive Social Learning for Tracking Rare Transition Markov Chains
2024. 32 European Signal Processing Conference, Lyon, France, 2024-08-26 - 2024-08-30. p. 1032 - 1036. DOI : 10.23919/eusipco63174.2024.10715423.Distributed Decision-Making for Community Structured Networks
2024. 49th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, South Korea, 2024-04-14 - 2024-04-19. p. 9316 - 9320. DOI : 10.1109/ICASSP48485.2024.10447274.Diffusion Optimistic Learning for Min-Max Optimization
2024. 49th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, South Korea, 2024-04-14 - 2024-04-19. p. 5535 - 5539. DOI : 10.1109/ICASSP48485.2024.10447140.DECENTRALIZED FUSION OF EXPERTS OVER NETWORKS
2024. 34 IEEE International Workshop on Machine Learning for Signal Processing, London, United Kingdom, 2024-09-22 - 2024-09-25. DOI : 10.1109/MLSP58920.2024.10734793.Asynchronous Diffusion Learning with Agent Subsampling and Local Updates
2024. 49th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, South Korea, 2024-04-14 - 2024-04-19. p. 9246 - 9250. DOI : 10.1109/ICASSP48485.2024.10447684.Diffusion Stochastic Optimization for Min-Max Problems
IEEE Transactions on Signal Processing. 2025. DOI : 10.1109/TSP.2024.3511452.Non-asymptotic performance of social machine learning under limited data
Signal Processing. 2025. DOI : 10.1016/j.sigpro.2024.109849.Socially Intelligent Networks: A framework for decision making over graphs
IEEE Signal Processing Magazine. 2024. DOI : 10.1109/MSP.2024.3431168.Detection of Malicious Agents in Social Learning
IEEE Signal Processing Letters. 2024. DOI : 10.1109/LSP.2024.3420167.Diffusion Moving-Average Adaptation Over Networks
IEEE Transactions on Signal Processing. 2024. DOI : 10.1109/TSP.2024.3426967.Social Learning in Community Structured Graphs
IEEE Transactions on Signal Processing. 2024. DOI : 10.1109/TSP.2024.3401418.Causal Influence in Federated Edge Inference
IEEE TRANSACTIONS ON SIGNAL PROCESSING. 2024. DOI : 10.1109/TSP.2024.3507715.Inverse Graph Learning from Social Interactions
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-10881.Graph Exploration for Effective Multiagent Q-Learning
Ieee Transactions On Neural Networks And Learning Systems. 2024. DOI : 10.1109/TNNLS.2024.3382480.On the Arithmetic and Geometric Fusion of Beliefs for Distributed Inference
Ieee Transactions On Automatic Control. 2024. DOI : 10.1109/TAC.2023.3330405.Social Opinion Formation and Decision Making Under Communication Trends
Ieee Transactions On Signal Processing. 2024. DOI : 10.1109/TSP.2023.3347918.Distributed Adaptive Learning Under Communication Constraints
Ieee Open Journal Of Signal Processing. 2024. DOI : 10.1109/OJSP.2023.3344052.Enforcing Privacy in Distributed Learning With Performance Guarantees
Ieee Transactions On Signal Processing. 2023. DOI : 10.1109/TSP.2023.3316590.Privatized graph federated learning
Eurasip Journal On Advances In Signal Processing. 2023. DOI : 10.1186/s13634-023-01049-4.Design of a Tap-Amplitude-Based Block Proportional Adaptive Filtering Algorithm
Ieee Transactions On Signal Processing. 2023. DOI : 10.1109/TSP.2023.3290659.Self-Aware Social Learning Over Graphs
Ieee Transactions On Information Theory. 2023. DOI : 10.1109/TIT.2023.3276214.Networked Signal and Information Processing: Learning by multiagent systems
Ieee Signal Processing Magazine. 2023. DOI : 10.1109/MSP.2023.3267896.Quantization for Decentralized Learning Under Subspace Constraints
Ieee Transactions On Signal Processing. 2023. DOI : 10.1109/TSP.2023.3287333.Multi-agent Learning with Privacy Guarantees
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9939.Causal Influences over Social Learning Networks
2023Decentralized Semi-supervised Learning over Multitask Graphs
2022. 56th Asilomar Conference on Signals, Systems, and Computers, ELECTR NETWORK, Oct 31-Nov 02, 2022. p. 419 - 425. DOI : 10.1109/IEEECONF56349.2022.10052032.Learning From Heterogeneous Data Based on Social Interactions Over Graphs
Ieee Transactions On Information Theory. 2023. DOI : 10.1109/TIT.2022.3232368.Partial Information Sharing Over Social Learning Networks
Ieee Transactions On Information Theory. 2023. DOI : 10.1109/TIT.2022.3227587.Discovering Influencers in Opinion Formation Over Social Graphs
Ieee Open Journal Of Signal Processing. 2023. DOI : 10.1109/OJSP.2023.3261132.Social Learning under Randomized Collaborations
2023. 2022 IEEE International Symposium on Information Theory (ISIT), Espoo, Finland, 26 June-1 July, 2022. p. 115 - 120. DOI : 10.1109/ISIT50566.2022.9834621.Estimating the Topology of Preferential Attachment Graphs Under Partial Observability
Ieee Transactions On Information Theory. 2023. DOI : 10.1109/TIT.2022.3211078.On the Fusion Strategies for Federated Decision Making
2023. 22nd IEEE Statistical Signal Processing Workshop (SSP), Hanoi, VIETNAM, July 02-05, 2023. p. 270 - 274. DOI : 10.1109/SSP53291.2023.10208062.Finite Bit Quantization For Decentralized Learning Under Subspace Constraints
2022. 30th European Signal Processing Conference (EUSIPCO), Belgrade, SERBIA, Aug 29-Sep 02, 2022. p. 1851 - 1855. DOI : 10.23919/EUSIPCO55093.2022.9909791.Social Learning with Disparate Hypotheses
2022. 30th European Signal Processing Conference (EUSIPCO), Belgrade, SERBIA, Aug 29-Sep 02, 2022. p. 2171 - 2175. DOI : 10.23919/EUSIPCO55093.2022.9909947.Explainability and Graph Learning From Social Interactions
Ieee Transactions On Signal And Information Processing Over Networks. 2022. DOI : 10.1109/TSIPN.2022.3223805.Second-Order Guarantees of Stochastic Gradient Descent in Nonconvex Optimization
Ieee Transactions On Automatic Control. 2022. DOI : 10.1109/TAC.2021.3131963.Adaptive Diffusion With Compressed Communication
2022. 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, SINGAPORE, May 22-27, 2022. p. 5672 - 5676. DOI : 10.1109/ICASSP43922.2022.9747154.Decentralized Gan Training Through Diffusion Learning
2022. IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP), ELECTR NETWORK, Aug 22-25, 2022. DOI : 10.1109/MLSP55214.2022.9943374.A Fundamental Limit of Distributed Hypothesis Testing Under Memoryless Quantization
2022. IEEE International Conference on Communications (ICC), Seoul, SOUTH KOREA, May 16-20, 2022. p. 4824 - 4829. DOI : 10.1109/ICC45855.2022.9838646.Opinion Formation over Adaptive Networks
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9905.Hidden Markov Modeling Over Graphs
2022. IEEE Data Science and Learning Workshop (DSLW), ELECTR NETWORK, May 22-23, 2022. DOI : 10.1109/DSLW53931.2022.9820077.Regularized Diffusion Adaptation via Conjugate Smoothing
Ieee Transactions On Automatic Control. 2022. DOI : 10.1109/TAC.2021.3081073.Decision-making algorithms for learning and adaptation with application to COVID-19 data
Signal Processing. 2022. DOI : 10.1016/j.sigpro.2021.108426.Distributed Meta-Learning with Networked Agents
2021. 29th European Signal Processing Conference (EUSIPCO), ELECTR NETWORK, Aug 23-27, 2021. p. 1361 - 1365. DOI : 10.23919/EUSIPCO54536.2021.9616256.Dif-MAML: Decentralized Multi-Agent Meta-Learning
Ieee Open Journal Of Signal Processing. 2022. DOI : 10.1109/OJSP.2021.3140000.Competing Adaptive Networks
2021. IEEE Statistical Signal Processing Workshop (SSP), ELECTR NETWORK, Jul 11-14, 2021. p. 71 - 75. DOI : 10.1109/SSP49050.2021.9513819.Learning Over Multitask Graphs-Part II: Performance Analysis
Ieee Open Journal Of Signal Processing. 2020. DOI : 10.1109/OJSP.2020.2989031.Learning Over Multitask Graphs-Part I: Stability Analysis
Ieee Open Journal Of Signal Processing. 2020. DOI : 10.1109/OJSP.2020.2989038.Interplay Between Topology and Social Learning Over Weak Graphs
Ieee Open Journal Of Signal Processing. 2020. DOI : 10.1109/OJSP.2020.3006436.Network Classifiers Based On Social Learning
2021. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ELECTR NETWORK, Jun 06-11, 2021. p. 5185 - 5189. DOI : 10.1109/ICASSP39728.2021.9414126.Gramian-Based Adaptive Combination Policies For Diffusion Learning Over Networks
2021. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ELECTR NETWORK, Jun 06-11, 2021. p. 5215 - 5219. DOI : 10.1109/ICASSP39728.2021.9414449.Learning Bollobas-Riordan Graphs Under Partial Observability
2021. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ELECTR NETWORK, Jun 06-11, 2021. p. 5360 - 5364. DOI : 10.1109/ICASSP39728.2021.9414217.Graph-Homomorphic Perturbations For Private Decentralized Learning
2021. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ELECTR NETWORK, Jun 06-11, 2021. p. 5240 - 5244. DOI : 10.1109/ICASSP39728.2021.9413811.Social Learning Under Inferential Attacks
2021. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ELECTR NETWORK, Jun 06-11, 2021. p. 5479 - 5483. DOI : 10.1109/ICASSP39728.2021.9413642.A Fundamental Limit of Distributed Hypothesis Testing Under Memoryless Quantization
2021Dual Consensus Proximal Algorithm for Multi-Agent Sharing Problems
Ieee Transactions On Signal Processing. 2021. DOI : 10.1109/TSP.2021.3114978.Frequency-Domain Diffusion Adaptation Over Networks
Ieee Transactions On Signal Processing. 2021. DOI : 10.1109/TSP.2021.3107622.Adaptive Social Learning
Ieee Transactions On Information Theory. 2021. DOI : 10.1109/TIT.2021.3094633.Second-Order Guarantees In Federated Learning
2020. 54th Asilomar Conference on Signals, Systems, and Computers, ELECTR NETWORK, Nov 01-05, 2020. p. 915 - 922. DOI : 10.1109/IEEECONF51394.2020.9443421.Logical Team Q-learning: An approach towards factored policies in cooperative MARL
2021. 24th International Conference on Artificial Intelligence and Statistics (AISTATS), ELECTR NETWORK, Apr 13-15, 2021. p. 667 - 675.Belief Control Strategies for Interactions Over Weakly-Connected Graphs
Ieee Open Journal Of Signal Processing. 2021. DOI : 10.1109/OJSP.2021.3081026.Decision Learning and Adaptation Over Multi-Task Networks
Ieee Transactions On Signal Processing. 2021. DOI : 10.1109/TSP.2021.3077804.Decentralized Proximal Gradient Algorithms With Linear Convergence Rates
Ieee Transactions On Automatic Control. 2021. DOI : 10.1109/TAC.2020.3009363.Adaptation in Online Social Learning
2020. 28th European Signal Processing Conference (EUSIPCO), ELECTR NETWORK, Jan 18-22, 2021. p. 2170 - 2174. DOI : 10.23919/Eusipco47968.2020.9287445.A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features
2020. 28th European Signal Processing Conference (EUSIPCO), ELECTR NETWORK, Jan 18-22, 2021. p. 2095 - 2099. DOI : 10.23919/Eusipco47968.2020.9287370.Multiagent Fully Decentralized Value Function Learning With Linear Convergence Rates
Ieee Transactions On Automatic Control. 2021. DOI : 10.1109/TAC.2020.2995814.Distributed Learning in Non-Convex Environments-Part I: Agreement at a Linear Rate
Ieee Transactions On Signal Processing. 2021. DOI : 10.1109/TSP.2021.3050858.Learning Graph Influence From Social Interactions
2020. IEEE International Conference on Acoustics, Speech, and Signal Processing, Barcelona, SPAIN, May 04-08, 2020. p. 5535 - 5539. DOI : 10.1109/ICASSP40776.2020.9054244.Adaptation And Learning In Multi-Task Decision Systems
2020. IEEE International Conference on Acoustics, Speech, and Signal Processing, Barcelona, SPAIN, May 04-08, 2020. p. 5525 - 5529. DOI : 10.1109/ICASSP40776.2020.9053560.Social Learning With Partial Information Sharing
2020. IEEE International Conference on Acoustics, Speech, and Signal Processing, Barcelona, SPAIN, May 04-08, 2020. p. 5540 - 5544. DOI : 10.1109/ICASSP40776.2020.9052947.Dynamic Federated Learning
2020. 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications (IEEE SPAWC), ELECTR NETWORK, May 26-29, 2020. DOI : 10.1109/SPAWC48557.2020.9154327.Linear Speedup In Saddle-Point Escape For Decentralized Non-Convex Optimization
2020. IEEE International Conference on Acoustics, Speech, and Signal Processing, Barcelona, SPAIN, May 04-08, 2020. p. 8589 - 8593. DOI : 10.1109/ICASSP40776.2020.9054327.Distributed Learning in Non-Convex Environments-Part II: Polynomial Escape From Saddle-Points
Ieee Transactions On Signal Processing. 2021. DOI : 10.1109/TSP.2021.3050840.Revisiting correlation-based functional connectivity and its relationship with structural connectivity
Network Neuroscience. 2020. DOI : 10.1162/netn_a_00166.Convex Combination of Diffusion Strategies Over Networks
Ieee Transactions On Signal And Information Processing Over Networks. 2020. DOI : 10.1109/TSIPN.2020.3038017.Second-order guarantees in centralized, federated and decentralized nonconvex optimization
Communications In Information And Systems. 2020. DOI : 10.4310/CIS.2020.v20.n3.a4.A Proximal Diffusion Strategy for Multiagent Optimization With Sparse Affine Constraints
Ieee Transactions On Automatic Control. 2020. DOI : 10.1109/TAC.2019.2960265.Graph Learning Under Partial Observability
Proceedings of the IEEE. 2020. DOI : 10.1109/JPROC.2020.3013432.Online Distributed Learning Over Graphs With Multitask Graph-Filter Models
Ieee Transactions On Signal And Information Processing Over Networks. 2020. DOI : 10.1109/TSIPN.2020.2964214.On the Influence of Bias-Correction on Distributed Stochastic Optimization
Ieee Transactions On Signal Processing. 2020. DOI : 10.1109/TSP.2020.3008605.Tracking Performance of Online Stochastic Learners
IEEE Signal Processing Letters. 2020. DOI : 10.1109/LSP.2020.3013775.Polynomial Escape-Time From Saddle Points In Distributed Non-Convex Optimization
2019. 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Guadeloupe, FRANCE, Dec 15-18, 2019. p. 171 - 175. DOI : 10.1109/CAMSAP45676.2019.9022458.Distributed Learning over Networks under Subspace Constraints
2019. 53rd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Nov 03-06, 2019. p. 194 - 198. DOI : 10.1109/IEEECONF44664.2019.9049074.Diffusion LMS With Communication Delays: Stability and Performance Analysis
IEEE Signal Processing Letters. 2020. DOI : 10.1109/LSP.2020.2990086.Adaptation and Learning Over Networks Under Subspace Constraints & x2014;Part II: Performance Analysis
Ieee Transactions On Signal Processing. 2020. DOI : 10.1109/TSP.2020.2987468.A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization
2019. 33rd Conference on Neural Information Processing Systems (NeurIPS), Vancouver, CANADA, Dec 08-14, 2019.Linear convergence of primal-dual gradient methods and their performance in distributed optimization
Automatica. 2020. DOI : 10.1016/j.automatica.2020.109003.Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization
Ieee Transactions On Signal Processing. 2020. DOI : 10.1109/TSP.2020.2983167.Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning
IEEE Signal Processing Magazine. 2020. DOI : 10.1109/MSP.2020.2966273.Affine Combination of Diffusion Strategies Over Networks
Ieee Transactions On Signal Processing. 2020. DOI : 10.1109/TSP.2020.2975346.Adaptation and Learning Over Networks Under Subspace Constraints-Part I: Stability Analysis
Ieee Transactions On Signal Processing. 2020. DOI : 10.1109/TSP.2020.2970336.Variance-Reduced Stochastic Learning Under Random Reshuffling
Ieee Transactions On Signal Processing. 2020. DOI : 10.1109/TSP.2020.2968280.Distributed Coupled Multiagent Stochastic Optimization
Ieee Transactions On Automatic Control. 2020. DOI : 10.1109/TAC.2019.2906495.Local Tomography of Large Networks Under the Low-Observability Regime
Ieee Transactions On Information Theory. 2020. DOI : 10.1109/TIT.2019.2945033.Dynamic Average Diffusion With Randomized Coordinate Updates
Ieee Transactions On Signal And Information Processing Over Networks. 2019. DOI : 10.1109/TSIPN.2019.2942191.Distributed Value-Function Learning with Linear Convergence Rates
2019. 18th European Control Conference (ECC), Naples, ITALY, Jun 25-28, 2019. p. 505 - 511. DOI : 10.23919/ECC.2019.8795670.Graph Learning with Partial Observations: Role of Degree Concentration
2019. IEEE International Symposium on Information Theory (ISIT), Paris, FRANCE, Jul 07-12, 2019. p. 1312 - 1316. DOI : 10.1109/ISIT.2019.8849234.Detection Under One-Bit Messaging Over Adaptive Networks
IEEE Transactions on Information Theory. 2019. DOI : 10.1109/TIT.2019.2916845.Distributed Inference Over Networks Under Subspace Constraints
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PhD Students
Malek Khammassi, Ying Cao, Ping Hu, Haoyuan Cai, Yike Zhao
Past EPFL PhD Students
Virginia Bordignon, Elsa Rizk, Valentina Shumovskaia, Ainur Zhaikhan, Kayaalp Mert
Courses
Adaptation and learning
EE-566
In this course, students learn to design and master algorithms and core concepts related to inference and learning from data and the foundations of adaptation and learning theories with applications.