Stefan Vlaski

IEEE Trans. Signal Process., 2026

2025

Decentralized AI Service Placement, Selection and Routing in Mobile Networks.

[BibT_eX]

[DOI]

Jinkun Zhang

Kin Leung

CoRR, November, 2025

Multitask Learning with Learned Task Relationships.

[BibT_eX]

[DOI]

Zirui Wan

CoRR, October, 2025

Decentralized Adversarial Training Over Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, July, 2025

Hidden Markov Model Filtering with Equal Exit Probabilities.

[BibT_eX]

[DOI]

CoRR, April, 2025

Differential Error Feedback for Communication-Efficient Decentralized Learning.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2025

Mean Aggregator is More Robust than Robust Aggregators under Label Poisoning Attacks on Distributed Heterogeneous Data.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2025

Convergence Analysis of alpha-SVRG under Strong Convexity.

[BibT_eX]

[DOI]

Sean Xiao

Sangwoo Park

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Deep-Relative-Trust-Based Diffusion for Decentralized Deep Learning.

[BibT_eX]

[DOI]

Muyun Li

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Communication-efficient Exact Diffusion for Decentralized Learning.

[BibT_eX]

[DOI]

Gustavo Faia

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Decentralized Hidden Markov Modeling with Equal Exit Probabilities.

[BibT_eX]

[DOI]

Proceedings of the 33rd European Signal Processing Conference, 2025

Scalable Min-Max Optimization via Primal-Dual Exact Pareto Optimization.

[BibT_eX]

[DOI]

Sangwoo Park

Lajos Hanzo

Proceedings of the 33rd European Signal Processing Conference, 2025

Pareto-Optimal Multi-Objective Learning over Graphs is Capable of Attaining Perfect Resource-Fairness: A Primal-Dual Min-Max Optimization Approach.

[BibT_eX]

[DOI]

Sangwoo Park

Lajos Hanzo

Proceedings of the 59th Asilomar Conference on Signals, 2025

2024

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning.

[BibT_eX]

[DOI]

Christian A. Schroth

CoRR, 2024

Matching centralized learning performance via compressed decentralized learning with error feedback.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

Decentralized Fusion of Experts Over Networks.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Differential Error Feedback for Communication-Efficient Decentralized Optimization.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Learning Dynamics of Low-Precision Clipped SGD with Momentum.

[BibT_eX]

[DOI]

Soummya Kar

Proceedings of the IEEE International Conference on Acoustics, 2024

Nonconvex Multitask Learning Over Networks.

[BibT_eX]

[DOI]

Proceedings of the 32nd European Signal Processing Conference, 2024

Learned Finite-Time Consensus for Distributed Optimization.

[BibT_eX]

[DOI]

Proceedings of the 32nd European Signal Processing Conference, 2024

Non-Bayesian Social Learning with Multiview Observations.

[BibT_eX]

[DOI]

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

Proximally Regularized Multitask Learning over Networks.

[BibT_eX]

[DOI]

Proceedings of the 58th Asilomar Conference on Signals, 2024

Decentralized Learning with Approximate Finite-Time Consensus.

[BibT_eX]

[DOI]

Proceedings of the 58th Asilomar Conference on Signals, 2024

2023

Privatized graph federated learning.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., December, 2023

Optimal Aggregation Strategies for Social Learning Over Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, September, 2023

Self-Aware Social Learning Over Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, August, 2023

Networked Signal and Information Processing: Learning by multiagent systems.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., July, 2023

Learning From Heterogeneous Data Based on Social Interactions Over Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, May, 2023

Enforcing Privacy in Distributed Learning With Performance Guarantees.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Quantization for Decentralized Learning Under Subspace Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Attacks on Robust Distributed Learning Schemes via Sensitivity Curve Maximization.

[BibT_eX]

[DOI]

Christian A. Schroth

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

Robust Network Topologies for Distributed Learning.

[BibT_eX]

[DOI]

Chutian Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

Robust M-Estimation Based Distributed Expectation Maximization Algorithm with Robust Aggregation.

[BibT_eX]

[DOI]

Christian A. Schroth

Proceedings of the IEEE International Conference on Acoustics, 2023

Local Graph-Homomorphic Processing for Privatized Distributed Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Multi-Agent Adversarial Training Using Diffusion Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Exact Subspace Diffusion for Decentralized Multitask Learning.

[BibT_eX]

[DOI]

Shreya Wadehra

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Federated Learning Under Importance Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Explainability and Graph Learning From Social Interactions.

[BibT_eX]

[DOI]

Valentina Shumovskaia

Konstantinos Ntemos

IEEE Trans. Signal Inf. Process. over Networks, 2022

Regularized Diffusion Adaptation via Conjugate Smoothing.

[BibT_eX]

[DOI]

Lieven Vandenberghe

IEEE Trans. Autom. Control., 2022

Second-Order Guarantees of Stochastic Gradient Descent in Nonconvex Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

Distributed Bayesian Learning of Dynamic States.

[BibT_eX]

[DOI]

CoRR, 2022

Networked Signal and Information Processing.

[BibT_eX]

[DOI]

CoRR, 2022

Dencentralized learning in the presence of low-rank noise.

[BibT_eX]

[DOI]

CoRR, 2022

Decentralized Learning in the Presence of Low-Rank Noise.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Optimal Combination Policies for Adaptive Social Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

ROBUST AND EFFICIENT AGGREGATION FOR DISTRIBUTED LEARNING.

[BibT_eX]

[DOI]

Proceedings of the 30th European Signal Processing Conference, 2022

Social Learning with Disparate Hypotheses.

[BibT_eX]

[DOI]

Proceedings of the 30th European Signal Processing Conference, 2022

Finite Bit Quantization for Decentralized Learning Under Subspace Constraints.

[BibT_eX]

[DOI]

Proceedings of the 30th European Signal Processing Conference, 2022

Distributed Relatively Smooth Optimization.

[BibT_eX]

[DOI]

Sofia Jegnell

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Distributed Learning in Non-Convex Environments - Part II: Polynomial Escape From Saddle-Points.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Distributed Learning in Non-Convex Environments - Part I: Agreement at a Linear Rate.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Hidden Markov Modeling over Graphs.

[BibT_eX]

[DOI]

CoRR, 2021

Deception in Social Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Competing Adaptive Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Graph-Homomorphic Perturbations for Private Decentralized Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Optimal Importance Sampling for Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Social Learning Under Inferential Attacks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Gramian-Based Adaptive Combination Policies for Diffusion Learning Over Networks.

[BibT_eX]

[DOI]

Y. Efe Erginbas

Proceedings of the IEEE International Conference on Acoustics, 2021

Network Classifiers Based on Social Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Distributed Meta-Learning with Networked Agents.

[BibT_eX]

[DOI]

Mert Kayaalp

Proceedings of the 29th European Signal Processing Conference, 2021

Online Graph Learning from Social Interactions.

[BibT_eX]

[DOI]

Valentina Shumovskaia

Konstantinos Ntemos

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Adaptation and Learning Over Networks Under Subspace Constraints - Part II: Performance Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Adaptation and Learning Over Networks Under Subspace Constraints - Part I: Stability Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2020

Tracking Performance of Online Stochastic Learners.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2020

Dif-MAML: Decentralized Multi-Agent Meta-Learning.

[BibT_eX]

[DOI]

Mert Kayaalp

CoRR, 2020

Multitask learning over graphs.

[BibT_eX]

[DOI]

CoRR, 2020

Second-order guarantees in centralized, federated and decentralized nonconvex optimization.

[BibT_eX]

[DOI]

Commun. Inf. Syst., 2020

Dynamic Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Linear Speedup in Saddle-Point Escape for Decentralized Non-Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Second-Order Guarantees in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Distributed Stochastic Optimization in Non-Differentiable and Non-Convex Environments

[BibT_eX]

[DOI]

PhD thesis, 2019

Stochastic Learning Under Random Reshuffling With Constant Step-Sizes.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

A Regularization Framework for Learning Over Multitask Graphs.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2019

Second-Order Guarantees of Stochastic Gradient Descent in Non-Convex Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

Adaptation and learning over networks under subspace constraints.

[BibT_eX]

[DOI]

CoRR, 2019

Diffusion Learning in Non-convex Environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Distributed Inference over Networks under Subspace Constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Enhanced Diffusion Learning Over Networks.

[BibT_eX]

[DOI]

Ricardo Merched

Proceedings of the 27th European Signal Processing Conference, 2019

Polynomial Escape-Time from Saddle Points in Distributed Non-Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Distributed Learning over Networks under Subspace Constraints.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Learning over Multitask Graphs - Part II: Performance Analysis.

[BibT_eX]

[DOI]

CoRR, 2018

Learning over Multitask Graphs - Part I: Stability Analysis.

[BibT_eX]

[DOI]

CoRR, 2018

Stochastic Learning under Random Reshuffling.

[BibT_eX]

[DOI]

CoRR, 2018

Distributed Inference Over Multitask Graphs Under Smoothness.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Online Graph Learning from Sequential Data.

[BibT_eX]

[DOI]

Hermina Petric Maretic

Pascal Frossard

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017

A blind Adaptive Stimulation Artifact Rejection (ASAR) engine for closed-loop implantable neuromodulation systems.

[BibT_eX]

[DOI]

Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

On the performance of random reshuffling in stochastic learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 Information Theory and Applications Workshop, 2017

2016

Stochastic gradient descent with finite samples sizes.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Diffusion stochastic optimization with non-smooth regularizers.

[BibT_eX]

[DOI]

Lieven Vandenberghe

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

The brain strategy for online learning.

[BibT_eX]

[DOI]

Bicheng Ying

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Proximal diffusion for stochastic costs with non-differentiable regularizers.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Robust bootstrap based observation classification for Kalman Filtering in harsh LOS/NLOS environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Robust bootstrap methods with an application to geolocation in harsh LOS/NLOS environments.

[BibT_eX]

[DOI]

Michael Muma