publications

A list of publications in journals and conference proceedings, by year of publication for published articles, and year of submission for preprints. A list of works is also available on Google Scholar.

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2024

  1. MLSP
    Decentralized Fusion of Experts Over Networks
    Marco Carpentiero, Vincenzo Matta, Stefan Vlaski, and Ali H. Sayed
    In Proc. of 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), 2024
  2. SPAWC
    Matching centralized learning performance via compressed decentralized learning with error feedback
    Roula Nassif, Marco Carpentiero, Stefan Vlaski, Vincenzo Matta, and Ali H. Sayed
    In Proc. of 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2024
  3. Nonconvex Multitask Learning Over Networks
    Stefan Vlaski, and Roula Nassif
    In Proc. of 2024 32nd European Signal Processing Conference (EUSIPCO), 2024
  4. CDC
    Non-Bayesian Social Learning with Multiview Observations
    Proc. of 2024 63rd IEEE Conference on Decision and Control (CDC), Dec 2024
    arXiv
  5. SAM
    Differential Error Feedback for Communication-Efficient Decentralized Optimization
    Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, and Ali H. Sayed
    In Proc. of 2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM), Dec 2024
  6. preprint
    Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
    Differential learning
    available as arXiv:2406.18418, Dec 2024
    arXiv
  7. ICASSP
    Learning Dynamics of Low-Precision Clipped SGD with Momentum
    Roula Nassif, Soummya Kar, and Stefan Vlaski
    In Proc. of 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dec 2024
  8. EUSIPCO
    Learned Finite-Time Consensus for Distributed Optimization
    Aaron Fainman, and Stefan Vlaski
    In Proc. of 2024 32nd European Signal Processing Conference (EUSIPCO), Dec 2024
    arXiv

2023

  1. CDC
    Exact Subspace Diffusion for Decentralized Multitask Learning
    Shreya Wadehra, Roula Nassif, and Stefan Vlaski
    In Proc. of 2023 62nd IEEE Conference on Decision and Control (CDC), Dec 2023
  2. TSP
    Enforcing Privacy in Distributed Learning With Performance Guarantees
    Elsa Rizk, Stefan Vlaski, and Ali H. Sayed
    IEEE Transactions on Signal Processing, Dec 2023
  3. EURASIP
    Privatized graph federated learning
    Elsa Rizk, Stefan Vlaski, and Ali H. Sayed
    EURASIP Journal on Advances in Signal Processing, Dec 2023
    arXiv
  4. TSP
    Quantization for Decentralized Learning Under Subspace Constraints
    Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Marc Antonini, and Ali H. Sayed
    IEEE Transactions on Signal Processing, Dec 2023
  5. DSP
    Attacks on Robust Distributed Learning Schemes via Sensitivity Curve Maximization
    Christian A. Schroth, Stefan Vlaski, and Abdelhak M. Zoubir
    In Proc. of 2023 24th International Conference on Digital Signal Processing (DSP), Dec 2023
  6. ICASSP
    Robust Network Topologies for Distributed Learning
    Chutian Wang, and Stefan Vlaski
    In Proc. of 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dec 2023
  7. ICASSP
    Robust M-Estimation Based Distributed Expectation Maximization Algorithm with Robust Aggregation
    Christian A. Schroth, Stefan Vlaski, and Abdelhak M. Zoubir
    In Proc. of 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dec 2023
  8. ICASSP
    Multi-Agent Adversarial Training Using Diffusion Learning
    Ying Cao, Elsa Rizk, Stefan Vlaski, and Ali H. Sayed
    In Proc. of 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dec 2023
  9. ICASSP
    Local Graph-Homomorphic Processing for Privatized Distributed Systems
    Elsa Rizk, Stefan Vlaski, and Ali H. Sayed
    In Proc. of 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dec 2023
  10. TIT
    Optimal Aggregation Strategies for Social Learning Over Graphs
    Ping Hu, Virginia Bordignon, Stefan Vlaski, and Ali H. Sayed
    IEEE Transactions on Information Theory, Dec 2023
  11. TIT
    Self-Aware Social Learning Over Graphs
    Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, and Ali H. Sayed
    IEEE Transactions on Information Theory, Dec 2023
  12. preprint
    Decentralized Adversarial Training over Graphs
    available as arXiv:2303.01936, Dec 2023
    arXiv
  13. SPM
    Networked Signal and Information Processing: Learning by Multiagent Systems
    Stefan Vlaski, Soummya Kar, Ali H. Sayed, and José M. F. Moura
    IEEE Signal Processing Magazine, Dec 2023
    arXiv Website
  14. TIT
    Learning from Heterogeneous Data Based on Social Interactions over Graphs
    Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, and Ali H. Sayed
    IEEE Transactions on Information Theory, Dec 2023
    arXiv Website

2022

  1. preprint
    Distributed Bayesian Learning of Dynamic States
    available as arXiv:2212.02565, Dec 2022
    arXiv
  2. TSPIN
    Explainability and Graph Learning From Social Interactions
    Valentina Shumovskaia, Konstantinos Ntemos, Stefan Vlaski, and Ali H. Sayed
    IEEE Transactions on Signal and Information Processing over Networks, Dec 2022
  3. TSP
    Federated Learning Under Importance Sampling
    Elsa Rizk, Stefan Vlaski, and Ali H. Sayed
    IEEE Transactions on Signal Processing, Dec 2022
  4. EUSIPCO
    Social Learning with Disparate Hypotheses
    Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, and Ali H. Sayed
    In Proc. of 2022 30th European Signal Processing Conference (EUSIPCO), Dec 2022
  5. EUSIPCO
    Finite Bit Quantization for Decentralized Learning Under Subspace Constraints
    Roula Nassif, Stefan Vlaski, Marc Antonini, Marco Carpentiero, Vincenzo Matta, and Ali H. Sayed
    In Proc. of 2022 30th European Signal Processing Conference (EUSIPCO), Dec 2022
  6. EUSIPCO
    Robust and Efficient Aggregation for Distributed Learning
    Stefan Vlaski, Christian Schroth, Michael Muma, and Abdelhak M. Zoubir
    In Proc. of 2022 30th European Signal Processing Conference (EUSIPCO), Dec 2022
    arXiv
  7. CDC
    Distributed Relatively Smooth Optimization
    Sofia Jegnell, and Stefan Vlaski
    In Proc. IEEE Conference on Decision and Control (CDC), Dec 2022
    PDF Website
  8. TSP
    Federated Learning under Importance Sampling
    Elsa Rizk, Stefan Vlaski, and Ali H. Sayed
    IEEE Transactions on Signal Processing, Dec 2022
    arXiv Website
  9. ICASSP
    Optimal Combination Policies for Adaptive Social Learning
    Ping Hu, Virginia Bordignon, Stefan Vlaski, and Ali H. Sayed
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dec 2022
    Website
  10. ICASSP
    Decentralized Learning in the Presence of Low-Rank Noise
    Roula Nassif, Virginia Bordignon, Stefan Vlaski, and Ali H. Sayed
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dec 2022
    Website
  11. DSLW
    Hidden Markov Modeling Over Graphs
    Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, and Ali H. Sayed
    In Proc. IEEE Data Science and Learning Workshop (DSLW), Dec 2022
    Website
  12. EUSIPCO
    Social Learning with Disparate Hypothesis
    Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, and Ali H. Sayed
    In Proc. European Signal Processing Conference (EUSIPCO), Dec 2022
  13. preprint
    Explainability and Graph Learning from Social Interactions
    Valentina Shumovskaia, Konstantinos Ntemos, Stefan Vlaski, and Ali H. Sayed
    available as arXiv:2203.07494, Dec 2022
    arXiv
  14. preprint
    Optimal Aggregation Strategies for Social Learning over Graphs
    Ping Hu, Virginia Bordignon, Stefan Vlaski, and Ali H. Sayed
    available as arXiv:2203.07065, Dec 2022
    arXiv
  15. OJSP
    Dif-MAML: Decentralized Multi-Agent Meta-Learning
    Mert Kayaalp, Stefan Vlaski, and Ali H. Sayed
    IEEE Open Journal of Signal Processing, Dec 2022
    arXiv Website

2021

  1. TAC
    Second-Order Guarantees of Stochastic Gradient Descent in Non-Convex Optimization
    Stefan Vlaski, and Ali H. Sayed
    IEEE Transactions on Automatic Control, Dec 2021
    Website
  2. preprint
    Self-aware Social Learning over Graphs
    Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, and Ali H. Sayed
    available as arXiv:2110.13292, Dec 2021
    arXiv
  3. EUSIPCO
    Distributed Meta-Learning with Networked Agents
    Mert Kayaalp, Stefan Vlaski, and Ali H. Sayed
    In Proc. European Signal Processing Conference (EUSIPCO), Dec 2021
  4. SSP
    Competing Adaptive Networks
    Stefan Vlaski, and Ali H. Sayed
    In Proc. IEEE Statistical Signal Processing Workshop (SSP), Dec 2021
  5. ICASSP
    Gramian-Based Adaptive Combination Policies for Diffusion Learning Over Networks
    Y. Efe Erginbas, Stefan Vlaski, and Ali H. Sayed
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dec 2021
  6. ICASSP
    Social Learning Under Inferential Attacks
    Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, and Ali H. Sayed
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dec 2021
  7. ICASSP
    Network Classifiers Based on Social Learning
    Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, and Ali H. Sayed
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dec 2021
  8. ICASSP
    Optimal Importance Sampling for Federated Learning
    Elsa Rizk, Stefan Vlaski, and Ali H. Sayed
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dec 2021
  9. ICASSP
    Graph-Homomorphic Perturbations for Private Decentralized Learning
    Stefan Vlaski, and Ali H. Sayed
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dec 2021
  10. TAC
    Regularized Diffusion Adaptation via Conjugate Smoothing
    Stefan Vlaski, Lieven Vandenberghe, and Ali H. Sayed
    IEEE Transactions on Automatic Control, Dec 2021
  11. patent
    Systems and methods for reducing noise caused by stimulation artifacts in neural signals received by neuro-modulation devices
    Dejan Marković, Ali H. Sayed, Sina Basir-Kazeruni, Stefan Vlaski, and Hawraa Salami
    US Patent US10980487B2, Dec 2021
  12. preprint
    Deception in Social Learning
    Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, and Ali H. Sayed
    available as arXiv:2103.14729, Dec 2021
    arXiv
  13. TSP
    Distributed Learning in Non-Convex Environments — Part II: Polynomial Escape From Saddle-Points
    Stefan Vlaski, and Ali H. Sayed
    IEEE Transactions on Signal Processing, Dec 2021
    Website
  14. TSP
    Distributed Learning in Non-Convex Environments — Part I: Agreement at a Linear Rate
    Stefan Vlaski, and Ali H. Sayed
    IEEE Transactions on Signal Processing, Dec 2021
    Website
  15. Asilomar
    Online Graph Learning from Social Interactions
    Valentina Shumovskaia, Konstantinos Ntemos, Stefan Vlaski, and Ali H. Sayed
    In Proc. Asilomar Conference on Signals, Systems, and Computers, Dec 2021

2020

  1. Asilomar
    Second-Order Guarantees in Federated Learning
    Stefan Vlaski, Elsa Rizk, and Ali H. Sayed
    In Proc. Asilomar Conference on Signals, Systems, and Computers, Dec 2020
  2. SPL
    Tracking Performance of Online Stochastic Learners
    Stefan Vlaski, Elsa Rizk, and Ali H. Sayed
    IEEE Signal Processing Letters, Dec 2020
  3. SPAWC
    Dynamic Federated Learning
    Elsa Rizk, Stefan Vlaski, and Ali H. Sayed
    In Proc. International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Dec 2020
  4. ICASSP
    Linear Speedup in Saddle-Point Escape for Decentralized Non-Convex Optimization
    Stefan Vlaski, and Ali H. Sayed
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dec 2020
  5. SPM
    Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning
    Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, and Ali H. Sayed
    IEEE Signal Processing Magazine, Dec 2020
    arXiv Website
  6. OJSP
    Learning Over Multitask Graphs—Part II: Performance Analysis
    Roula Nassif, Stefan Vlaski, Cédric Richard, and Ali H. Sayed
    IEEE Open Journal of Signal Processing, Dec 2020
  7. OJSP
    Learning Over Multitask Graphs—Part I: Stability Analysis
    Roula Nassif, Stefan Vlaski, Cédric Richard, and Ali H. Sayed
    IEEE Open Journal of Signal Processing, Dec 2020
  8. TSP
    Adaptation and Learning Over Networks Under Subspace Constraints—Part II: Performance Analysis
    Roula Nassif, Stefan Vlaski, and Ali H. Sayed
    IEEE Transactions on Signal Processing, Dec 2020
  9. CIS
    Second-Order Guarantees in Centralized, Federated and Decentralized Nonconvex Optimization
    Stefan Vlaski, and Ali H. Sayed
    Communications in Information and Systems, Dec 2020
    arXiv
  10. patent
    Multi microphone wall detection and location estimation
    Mohamed Mansour, Srivatsan Kandadai, and Stefan Vlaski
    US Patent US10598543B1, Dec 2020
  11. TSP
    Adaptation and Learning Over Networks Under Subspace Constraints—Part I: Stability Analysis
    Roula Nassif, Stefan Vlaski, and Ali H. Sayed
    IEEE Transactions on Signal Processing, Dec 2020

2019

  1. CAMSAP
    Polynomial Escape-Time from Saddle Points in Distributed Non-Convex Optimization
    Stefan Vlaski, and Ali H. Sayed
    In Proc. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Dec 2019
  2. Asilomar
    Distributed Learning over Networks under Subspace Constraints
    Roula Nassif, Stefan Vlaski, and Ali H. Sayed
    In Proc. Asilomar Conference on Signals, Systems, and Computers, Dec 2019
  3. EUSIPCO
    Enhanced Diffusion Learning Over Networks
    Ricardo Merched, Stefan Vlaski, and Ali H. Sayed
    In Proc. European Signal Processing Conference (EUSIPCO), Dec 2019
  4. ICASSP
    Diffusion Learning in Non-convex Environments
    Stefan Vlaski, and Ali H. Sayed
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dec 2019
  5. ICASSP
    Distributed Inference over Networks under Subspace Constraints
    Roula Nassif, Stefan Vlaski, and Ali H. Sayed
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dec 2019
  6. SPL
    A Regularization Framework for Learning Over Multitask Graphs
    Roula Nassif, Stefan Vlaski, Cédric Richard, and Ali H. Sayed
    IEEE Signal Processing Letters, Dec 2019
  7. TSP
    Stochastic Learning Under Random Reshuffling With Constant Step-Sizes
    Bicheng Ying, Kun Yuan, Stefan Vlaski, and Ali H. Sayed
    IEEE Transactions on Signal Processing, Dec 2019

2018

  1. SPAWC
    Distributed Inference Over Multitask Graphs Under Smoothness
    Roula Nassif, Stefan Vlaski, and Ali H. Sayed
    In Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Dec 2018
  2. DSW
    Online Graph Learning From Sequential Data
    Stefan Vlaski, Hermina P. Maretić, Roula Nassif, Pascal Frossard, and Ali H. Sayed
    In Proc. IEEE Data Science Workshop (DSW), Dec 2018

2017

  1. NER
    A blind Adaptive Stimulation Artifact Rejection (ASAR) engine for closed-loop implantable neuromodulation systems
    Sina Basir-Kazeruni, Stefan Vlaski, Hawraa Salami, Ali H. Sayed, and Dejan Marković
    In Proc. International IEEE/EMBS Conference on Neural Engineering (NER), Dec 2017
  2. ITA
    On the performance of random reshuffling in stochastic learning
    Bicheng Ying, Kun Yuan, Stefan Vlaski, and Ali H. Sayed
    In Proc. Information Theory and Applications Workshop (ITA), Dec 2017

2016

  1. GlobalSIP
    The brain strategy for online learning
    Stefan Vlaski, Bicheng Ying, and Ali H. Sayed
    In Proc. IEEE Global Conference on Signal and Information Processing (GlobalSIP), Dec 2016
  2. MLSP
    Stochastic gradient descent with finite samples sizes
    Kun Yuan, Bicheng Ying, Stefan Vlaski, and Ali H. Sayed
    In Proc. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Dec 2016
  3. ICASSP
    Diffusion stochastic optimization with non-smooth regularizers
    Stefan Vlaski, Lieven Vandenberghe, and Ali H. Sayed
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dec 2016

2015

  1. ICASSP
    Proximal diffusion for stochastic costs with non-differentiable regularizers
    Stefan Vlaski, and Ali H. Sayed
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dec 2015

2014

  1. SSP
    Robust bootstrap based observation classification for Kalman Filtering in harsh LOS/NLOS environments
    Stefan Vlaski, and Abdelhak M. Zoubir
    In Proc. IEEE Workshop on Statistical Signal Processing (SSP), Dec 2014
  2. ICASSP
    Robust bootstrap methods with an application to geolocation in harsh LOS/NLOS environments
    Stefan Vlaski, Michael Muma, and Abdelhak M. Zoubir
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dec 2014