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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2022

  1. preprint
    Networked Signal and Information Processing
    Stefan Vlaski, Soummya Kar, Ali H. Sayed, and José M. F. Moura
    available as arXiv:2210.13767, 2022
    arXiv
  2. CDC
    Distributed Relatively Smooth Optimization
    Sofia Jegnell, and Stefan Vlaski
    In Proc. IEEE Conference on Decision and Control (CDC), 2022
    PDF
  3. TSP
    Federated Learning under Importance Sampling
    Elsa Rizk, Stefan Vlaski, and Ali H. Sayed
    IEEE Transactions on Signal Processing, 2022
    arXiv Website
  4. preprint
    Quantization for decentralized learning under subspace constraints
    Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Marc Antonini, and Ali H. Sayed
    available as arXiv:2209.07821, 2022
    arXiv
  5. 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), 2022
    Website
  6. 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), 2022
    Website
  7. 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), 2022
    Website
  8. 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. European Signal Processing Conference (EUSIPCO), 2022
  9. EUSIPCO
    Robust and Efficient Aggregation for Distributed Learning
    Stefan Vlaski, Christian Schroth, Michael Muma, and Abdelhak M. Zoubir
    In Proc. European Signal Processing Conference (EUSIPCO), 2022
    arXiv
  10. EUSIPCO
    Social Learning with Disparate Hypothesis
    Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, and Ali H. Sayed
    In Proc. European Signal Processing Conference (EUSIPCO), 2022
  11. preprint
    Privatized Graph Federated Learning
    Elsa Rizk, Stefan Vlaski, and Ali H. Sayed
    available as:2203.07105, 2022
    arXiv
  12. preprint
    Explainability and Graph Learning from Social Interactions
    Valentina Shumovskaia, Konstantinos Ntemos, Stefan Vlaski, and Ali H. Sayed
    available as arXiv:2203.07494, 2022
    arXiv
  13. preprint
    Optimal Aggregation Strategies for Social Learning over Graphs
    Ping Hu, Virginia Bordignon, Stefan Vlaski, and Ali H. Sayed
    available as arXiv:2203.07065, 2022
    arXiv
  14. OJSP
    Dif-MAML: Decentralized Multi-Agent Meta-Learning
    Mert Kayaalp, Stefan Vlaski, and Ali H. Sayed
    IEEE Open Journal of Signal Processing, 2022
    arXiv Website

2021

  1. preprint
    Learning from Heterogeneous Data Based on Social Interactions over Graphs
    Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, and Ali H. Sayed
    available as arXiv:2112.09483, 2021
    arXiv
  2. TAC
    Second-Order Guarantees of Stochastic Gradient Descent in Non-Convex Optimization
    Stefan Vlaski, and Ali H. Sayed
    IEEE Transactions on Automatic Control, 2021
    Website
  3. preprint
    Self-aware Social Learning over Graphs
    Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, and Ali H. Sayed
    available as arXiv:2110.13292, 2021
    arXiv
  4. EUSIPCO
    Distributed Meta-Learning with Networked Agents
    Mert Kayaalp, Stefan Vlaski, and Ali H. Sayed
    In Proc. European Signal Processing Conference (EUSIPCO), 2021
  5. SSP
    Competing Adaptive Networks
    Stefan Vlaski, and Ali H. Sayed
    In Proc. IEEE Statistical Signal Processing Workshop (SSP), 2021
  6. 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), 2021
  7. 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), 2021
  8. 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), 2021
  9. 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), 2021
  10. 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), 2021
  11. TAC
    Regularized Diffusion Adaptation via Conjugate Smoothing
    Stefan Vlaski, Lieven Vandenberghe, and Ali H. Sayed
    IEEE Transactions on Automatic Control, 2021
  12. 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, 2021
  13. preprint
    Deception in Social Learning
    Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, and Ali H. Sayed
    available as arXiv:2103.14729, 2021
    arXiv
  14. 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, 2021
    Website
  15. 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, 2021
    Website
  16. 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, 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, 2020
  2. SPL
    Tracking Performance of Online Stochastic Learners
    Stefan Vlaski, Elsa Rizk, and Ali H. Sayed
    IEEE Signal Processing Letters, 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), 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), 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, 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, 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, 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, 2020
  9. CIS
    Second-Order Guarantees in Centralized, Federated and Decentralized Nonconvex Optimization
    Stefan Vlaski, and Ali H. Sayed
    Communications in Information and Systems, 2020
    arXiv
  10. patent
    Multi microphone wall detection and location estimation
    Mohamed Mansour, Srivatsan Kandadai, and Stefan Vlaski
    US Patent US10598543B1, 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, 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), 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, 2019
  3. EUSIPCO
    Enhanced Diffusion Learning Over Networks
    Ricardo Merched, Stefan Vlaski, and Ali H. Sayed
    In Proc. European Signal Processing Conference (EUSIPCO), 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), 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), 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, 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, 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), 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), 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), 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), 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), 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), 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), 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), 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), 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), 2014