Stefan Vlaski - RankMe

132 papers Misc 24Journal 78Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Convergence of Decentralized Stochastic Gradient-Tracking With Finite-Time Consensus. IEEE Trans. Signal Process. Aaron Fainman, Stefan Vlaski
2026	J	`jnl`	Quantitative Error Feedback for Quantization Noise Reduction of Filtering Over Graphs. IEEE Trans. Signal Process. Xue Xian Zheng, Weihang Liu, Xin Lou, Stefan Vlaski, Tareq Y. Al-Naffouri
2026	J	`jnl`	Topology-Independent Robustness of the Weighted Mean under Label Poisoning Attacks in Heterogeneous Decentralized Learning. CoRR Jie Peng, Weiyu Li, Stefan Vlaski, Qing Ling
2025	Misc	`conf`	Communication-efficient Exact Diffusion for Decentralized Learning. ICASSP Gustavo Faia, Stefan Vlaski, Roula Nassif
2025	Misc	`conf`	Convergence Analysis of alpha-SVRG under Strong Convexity. ICASSP Sean Xiao, Sangwoo Park, Stefan Vlaski
2025	J	`jnl`	Convergence Analysis of alpha-SVRG under Strong Convexity. CoRR Sean Xiao, Sangwoo Park, Stefan Vlaski
2025	J	`jnl`	Decentralized AI Service Placement, Selection and Routing in Mobile Networks. CoRR Jinkun Zhang, Stefan Vlaski, Kin Leung
2025	J	`jnl`	Decentralized Adversarial Training Over Graphs. IEEE Trans. Inf. Theory Ying Cao, Elsa Rizk, Stefan Vlaski, Ali H. Sayed
2025	—	`conf`	Decentralized Hidden Markov Modeling with Equal Exit Probabilities. EUSIPCO Dongyan Sui, Haitian Zheng, Siyang Leng, Stefan Vlaski
2025	J	`jnl`	Decentralized Hidden Markov Modeling with Equal Exit Probabilities. CoRR Dongyan Sui, Haitian Zheng, Siyang Leng, Stefan Vlaski
2025	Misc	`conf`	Deep-Relative-Trust-Based Diffusion for Decentralized Deep Learning. ICASSP Muyun Li, Aaron Fainman, Stefan Vlaski
2025	J	`jnl`	Deep-Relative-Trust-Based Diffusion for Decentralized Deep Learning. CoRR Muyun Li, Aaron Fainman, Stefan Vlaski
2025	J	`jnl`	Differential Error Feedback for Communication-Efficient Decentralized Learning. IEEE Trans. Signal Process. Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
2025	J	`jnl`	Hidden Markov Model Filtering with Equal Exit Probabilities. CoRR Dongyan Sui, Haotian Pu, Siyang Leng, Stefan Vlaski
2025	J	`jnl`	Mean Aggregator is More Robust than Robust Aggregators under Label Poisoning Attacks on Distributed Heterogeneous Data. J. Mach. Learn. Res. Jie Peng, Weiyu Li, Stefan Vlaski, Qing Ling
2025	J	`jnl`	Multitask Learning with Learned Task Relationships. CoRR Zirui Wan, Stefan Vlaski
2025	—	`conf`	Pareto-Optimal Multi-Objective Learning over Graphs is Capable of Attaining Perfect Resource-Fairness: A Primal-Dual Min-Max Optimization Approach. IEEECONF Sangwoo Park, Stefan Vlaski, Lajos Hanzo
2025	J	`jnl`	Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs. CoRR Xue Xian Zheng, Weihang Liu, Xin Lou, Stefan Vlaski, Tareq Y. Al-Naffouri
2025	—	`conf`	Scalable Min-Max Optimization via Primal-Dual Exact Pareto Optimization. EUSIPCO Sangwoo Park, Stefan Vlaski, Lajos Hanzo
2025	J	`jnl`	Scalable Min-Max Optimization via Primal-Dual Exact Pareto Optimization. CoRR Sangwoo Park, Stefan Vlaski, Lajos Hanzo
2024	—	`conf`	Decentralized Fusion of Experts Over Networks. MLSP Marco Carpentiero, Vincenzo Matta, Stefan Vlaski, Ali H. Sayed
2024	—	`conf`	Decentralized Learning with Approximate Finite-Time Consensus. IEEECONF Aaron Fainman, Stefan Vlaski
2024	—	`conf`	Differential Error Feedback for Communication-Efficient Decentralized Optimization. SAM Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
2024	J	`jnl`	Differential error feedback for communication-efficient decentralized learning. CoRR Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
2024	—	`conf`	Learned Finite-Time Consensus for Distributed Optimization. EUSIPCO Aaron Fainman, Stefan Vlaski
2024	Misc	`conf`	Learning Dynamics of Low-Precision Clipped SGD with Momentum. ICASSP Roula Nassif, Soummya Kar, Stefan Vlaski
2024	—	`conf`	Matching centralized learning performance via compressed decentralized learning with error feedback. SPAWC Roula Nassif, Marco Carpentiero, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
2024	—	`conf`	Non-Bayesian Social Learning with Multiview Observations. CDC Dongyan Sui, Weichen Cao, Stefan Vlaski, Chun Guan, Siyang Leng
2024	J	`jnl`	Non-Bayesian Social Learning with Multiview Observations. CoRR Dongyan Sui, Weichen Cao, Stefan Vlaski, Chun Guan, Siyang Leng
2024	—	`conf`	Nonconvex Multitask Learning Over Networks. EUSIPCO Stefan Vlaski, Roula Nassif
2024	—	`conf`	Proximally Regularized Multitask Learning over Networks. IEEECONF Stefan Vlaski, Roula Nassif
2024	J	`jnl`	Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning. CoRR Christian A. Schroth, Stefan Vlaski, Abdelhak M. Zoubir
2023	—	`conf`	Attacks on Robust Distributed Learning Schemes via Sensitivity Curve Maximization. DSP Christian A. Schroth, Stefan Vlaski, Abdelhak M. Zoubir
2023	J	`jnl`	Attacks on Robust Distributed Learning Schemes via Sensitivity Curve Maximization. CoRR Christian A. Schroth, Stefan Vlaski, Abdelhak M. Zoubir
2023	J	`jnl`	Decentralized Adversarial Training over Graphs. CoRR Ying Cao, Elsa Rizk, Stefan Vlaski, Ali H. Sayed
2023	J	`jnl`	Enforcing Privacy in Distributed Learning With Performance Guarantees. IEEE Trans. Signal Process. Elsa Rizk, Stefan Vlaski, Ali H. Sayed
2023	J	`jnl`	Enforcing Privacy in Distributed Learning with Performance Guarantees. CoRR Elsa Rizk, Stefan Vlaski, Ali H. Sayed
2023	—	`conf`	Exact Subspace Diffusion for Decentralized Multitask Learning. CDC Shreya Wadehra, Roula Nassif, Stefan Vlaski
2023	J	`jnl`	Exact Subspace Diffusion for Decentralized Multitask Learning. CoRR Shreya Wadehra, Roula Nassif, Stefan Vlaski
2023	J	`jnl`	Learning From Heterogeneous Data Based on Social Interactions Over Graphs. IEEE Trans. Inf. Theory Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
2023	Misc	`conf`	Local Graph-Homomorphic Processing for Privatized Distributed Systems. ICASSP Elsa Rizk, Stefan Vlaski, Ali H. Sayed
2023	Misc	`conf`	Multi-Agent Adversarial Training Using Diffusion Learning. ICASSP Ying Cao, Elsa Rizk, Stefan Vlaski, Ali H. Sayed
2023	J	`jnl`	Multi-Agent Adversarial Training Using Diffusion Learning. CoRR Ying Cao, Elsa Rizk, Stefan Vlaski, Ali H. Sayed
2023	J	`jnl`	Networked Signal and Information Processing: Learning by multiagent systems. IEEE Signal Process. Mag. Stefan Vlaski, Soummya Kar, Ali H. Sayed, José M. F. Moura
2023	J	`jnl`	Optimal Aggregation Strategies for Social Learning Over Graphs. IEEE Trans. Inf. Theory Ping Hu, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2023	J	`jnl`	Privatized graph federated learning. EURASIP J. Adv. Signal Process. Elsa Rizk, Stefan Vlaski, Ali H. Sayed
2023	J	`jnl`	Quantization for Decentralized Learning Under Subspace Constraints. IEEE Trans. Signal Process. Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Marc Antonini, Ali H. Sayed
2023	Misc	`conf`	Robust M-Estimation Based Distributed Expectation Maximization Algorithm with Robust Aggregation. ICASSP Christian A. Schroth, Stefan Vlaski, Abdelhak M. Zoubir
2023	Misc	`conf`	Robust Network Topologies for Distributed Learning. ICASSP Chutian Wang, Stefan Vlaski
2023	J	`jnl`	Self-Aware Social Learning Over Graphs. IEEE Trans. Inf. Theory Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2022	Misc	`conf`	Decentralized Learning in the Presence of Low-Rank Noise. ICASSP Roula Nassif, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2022	J	`jnl`	Dencentralized learning in the presence of low-rank noise. CoRR Roula Nassif, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2022	J	`jnl`	Distributed Bayesian Learning of Dynamic States. CoRR Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
2022	—	`conf`	Distributed Relatively Smooth Optimization. CDC Sofia Jegnell, Stefan Vlaski
2022	J	`jnl`	Explainability and Graph Learning From Social Interactions. IEEE Trans. Signal Inf. Process. over Networks Valentina Shumovskaia, Konstantinos Ntemos, Stefan Vlaski, Ali H. Sayed
2022	J	`jnl`	Federated Learning Under Importance Sampling. IEEE Trans. Signal Process. Elsa Rizk, Stefan Vlaski, Ali H. Sayed
2022	—	`conf`	Finite Bit Quantization for Decentralized Learning Under Subspace Constraints. EUSIPCO Roula Nassif, Stefan Vlaski, Marc Antonini, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
2022	J	`jnl`	Local Graph-homomorphic Processing for Privatized Distributed Systems. CoRR Elsa Rizk, Stefan Vlaski, Ali H. Sayed
2022	J	`jnl`	Networked Signal and Information Processing. CoRR Stefan Vlaski, Soummya Kar, Ali H. Sayed, José M. F. Moura
2022	J	`jnl`	Online Graph Learning from Social Interactions. CoRR Valentina Shumovskaia, Konstantinos Ntemos, Stefan Vlaski, Ali H. Sayed
2022	J	`jnl`	Optimal Aggregation Strategies for Social Learning over Graphs. CoRR Ping Hu, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2022	Misc	`conf`	Optimal Combination Policies for Adaptive Social Learning. ICASSP Ping Hu, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2022	J	`jnl`	Privatized Graph Federated Learning. CoRR Elsa Rizk, Stefan Vlaski, Ali H. Sayed
2022	J	`jnl`	Quantization for decentralized learning under subspace constraints. CoRR Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Marc Antonini, Ali H. Sayed
2022	—	`conf`	ROBUST AND EFFICIENT AGGREGATION FOR DISTRIBUTED LEARNING. EUSIPCO Stefan Vlaski, Christian A. Schroth, Michael Muma, Abdelhak M. Zoubir
2022	J	`jnl`	Regularized Diffusion Adaptation via Conjugate Smoothing. IEEE Trans. Autom. Control. Stefan Vlaski, Lieven Vandenberghe, Ali H. Sayed
2022	J	`jnl`	Robust and Efficient Aggregation for Distributed Learning. CoRR Stefan Vlaski, Christian A. Schroth, Michael Muma, Abdelhak M. Zoubir
2022	J	`jnl`	Second-Order Guarantees of Stochastic Gradient Descent in Nonconvex Optimization. IEEE Trans. Autom. Control. Stefan Vlaski, Ali H. Sayed
2022	—	`conf`	Social Learning with Disparate Hypotheses. EUSIPCO Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2021	—	`conf`	Competing Adaptive Networks. SSP Stefan Vlaski, Ali H. Sayed
2021	J	`jnl`	Competing Adaptive Networks. CoRR Stefan Vlaski, Ali H. Sayed
2021	J	`jnl`	Deception in Social Learning. CoRR Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2021	J	`jnl`	Distributed Learning in Non-Convex Environments - Part I: Agreement at a Linear Rate. IEEE Trans. Signal Process. Stefan Vlaski, Ali H. Sayed
2021	J	`jnl`	Distributed Learning in Non-Convex Environments - Part II: Polynomial Escape From Saddle-Points. IEEE Trans. Signal Process. Stefan Vlaski, Ali H. Sayed
2021	—	`conf`	Distributed Meta-Learning with Networked Agents. EUSIPCO Mert Kayaalp, Stefan Vlaski, Ali H. Sayed
2021	Misc	`conf`	Gramian-Based Adaptive Combination Policies for Diffusion Learning Over Networks. ICASSP Y. Efe Erginbas, Stefan Vlaski, Ali H. Sayed
2021	Misc	`conf`	Graph-Homomorphic Perturbations for Private Decentralized Learning. ICASSP Stefan Vlaski, Ali H. Sayed
2021	J	`jnl`	Hidden Markov Modeling over Graphs. CoRR Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2021	J	`jnl`	Learning from Heterogeneous Data Based on Social Interactions over Graphs. CoRR Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
2021	Misc	`conf`	Network Classifiers Based on Social Learning. ICASSP Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
2021	—	`conf`	Online Graph Learning from Social Interactions. ACSCC Valentina Shumovskaia, Konstantinos Ntemos, Stefan Vlaski, Ali H. Sayed
2021	Misc	`conf`	Optimal Importance Sampling for Federated Learning. ICASSP Elsa Rizk, Stefan Vlaski, Ali H. Sayed
2021	J	`jnl`	Self-aware Social Learning over Graphs. CoRR Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2021	Misc	`conf`	Social Learning Under Inferential Attacks. ICASSP Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2020	J	`jnl`	Adaptation and Learning Over Networks Under Subspace Constraints - Part I: Stability Analysis. IEEE Trans. Signal Process. Roula Nassif, Stefan Vlaski, Ali H. Sayed
2020	J	`jnl`	Adaptation and Learning Over Networks Under Subspace Constraints - Part II: Performance Analysis. IEEE Trans. Signal Process. Roula Nassif, Stefan Vlaski, Ali H. Sayed
2020	J	`jnl`	Dif-MAML: Decentralized Multi-Agent Meta-Learning. CoRR Mert Kayaalp, Stefan Vlaski, Ali H. Sayed
2020	—	`conf`	Dynamic Federated Learning. SPAWC Elsa Rizk, Stefan Vlaski, Ali H. Sayed
2020	J	`jnl`	Dynamic Federated Learning. CoRR Elsa Rizk, Stefan Vlaski, Ali H. Sayed
2020	J	`jnl`	Federated Learning under Importance Sampling. CoRR Elsa Rizk, Stefan Vlaski, Ali H. Sayed
2020	J	`jnl`	Gramian-Based Adaptive Combination Policies for Diffusion Learning over Networks. CoRR Y. Efe Erginbas, Stefan Vlaski, Ali H. Sayed
2020	J	`jnl`	Graph-Homomorphic Perturbations for Private Decentralized Learning. CoRR Stefan Vlaski, Ali H. Sayed
2020	Misc	`conf`	Linear Speedup in Saddle-Point Escape for Decentralized Non-Convex Optimization. ICASSP Stefan Vlaski, Ali H. Sayed
2020	J	`jnl`	Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning. IEEE Signal Process. Mag. Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed
2020	J	`jnl`	Multitask learning over graphs. CoRR Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed
2020	J	`jnl`	Network Classifiers Based on Social Learning. CoRR Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
2020	J	`jnl`	Optimal Importance Sampling for Federated Learning. CoRR Elsa Rizk, Stefan Vlaski, Ali H. Sayed
2020	J	`jnl`	Second-Order Guarantees in Centralized, Federated and Decentralized Nonconvex Optimization. CoRR Stefan Vlaski, Ali H. Sayed
2020	Misc	`conf`	Second-Order Guarantees in Federated Learning. ACSSC Stefan Vlaski, Elsa Rizk, Ali H. Sayed
2020	J	`jnl`	Second-Order Guarantees in Federated Learning. CoRR Stefan Vlaski, Elsa Rizk, Ali H. Sayed
2020	J	`jnl`	Second-order guarantees in centralized, federated and decentralized nonconvex optimization. Commun. Inf. Syst. Stefan Vlaski, Ali H. Sayed
2020	J	`jnl`	Social learning under inferential attacks. CoRR Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2020	J	`jnl`	Tracking Performance of Online Stochastic Learners. CoRR Stefan Vlaski, Elsa Rizk, Ali H. Sayed
2020	J	`jnl`	Tracking Performance of Online Stochastic Learners. IEEE Signal Process. Lett. Stefan Vlaski, Elsa Rizk, Ali H. Sayed
2019	J	`jnl`	A Regularization Framework for Learning Over Multitask Graphs. IEEE Signal Process. Lett. Roula Nassif, Stefan Vlaski, Cédric Richard, Ali H. Sayed
2019	J	`jnl`	Adaptation and learning over networks under subspace constraints - Part II: Performance Analysis. CoRR Roula Nassif, Stefan Vlaski, Ali H. Sayed
2019	J	`jnl`	Adaptation and learning over networks under subspace constraints. CoRR Roula Nassif, Stefan Vlaski, Ali H. Sayed
2019	Misc	`conf`	Diffusion Learning in Non-convex Environments. ICASSP Stefan Vlaski, Ali H. Sayed
2019	Misc	`conf`	Distributed Inference over Networks under Subspace Constraints. ICASSP Roula Nassif, Stefan Vlaski, Ali H. Sayed
2019	J	`jnl`	Distributed Learning in Non-Convex Environments - Part I: Agreement at a Linear Rate. CoRR Stefan Vlaski, Ali H. Sayed
2019	J	`jnl`	Distributed Learning in Non-Convex Environments - Part II: Polynomial Escape from Saddle-Points. CoRR Stefan Vlaski, Ali H. Sayed
2019	Misc	`conf`	Distributed Learning over Networks under Subspace Constraints. ACSSC Roula Nassif, Stefan Vlaski, Ali H. Sayed
2019	—	`—`	Distributed Stochastic Optimization in Non-Differentiable and Non-Convex Environments Stefan Vlaski
2019	—	`conf`	Enhanced Diffusion Learning Over Networks. EUSIPCO Ricardo Merched, Stefan Vlaski, Ali H. Sayed
2019	J	`jnl`	Linear Speedup in Saddle-Point Escape for Decentralized Non-Convex Optimization. CoRR Stefan Vlaski, Ali H. Sayed
2019	—	`conf`	Polynomial Escape-Time from Saddle Points in Distributed Non-Convex Optimization. CAMSAP Stefan Vlaski, Ali H. Sayed
2019	J	`jnl`	Regularized Diffusion Adaptation via Conjugate Smoothing. CoRR Stefan Vlaski, Lieven Vandenberghe, Ali H. Sayed
2019	J	`jnl`	Second-Order Guarantees of Stochastic Gradient Descent in Non-Convex Optimization. CoRR Stefan Vlaski, Ali H. Sayed
2019	J	`jnl`	Stochastic Learning Under Random Reshuffling With Constant Step-Sizes. IEEE Trans. Signal Process. Bicheng Ying, Kun Yuan, Stefan Vlaski, Ali H. Sayed
2018	—	`conf`	Distributed Inference Over Multitask Graphs Under Smoothness. SPAWC Roula Nassif, Stefan Vlaski, Ali H. Sayed
2018	J	`jnl`	Learning over Multitask Graphs - Part I: Stability Analysis. CoRR Roula Nassif, Stefan Vlaski, Ali H. Sayed
2018	J	`jnl`	Learning over Multitask Graphs - Part II: Performance Analysis. CoRR Roula Nassif, Stefan Vlaski, Ali H. Sayed
2018	—	`conf`	Online Graph Learning from Sequential Data. DSW Stefan Vlaski, Hermina Petric Maretic, Roula Nassif, Pascal Frossard, Ali H. Sayed
2018	J	`jnl`	Stochastic Learning under Random Reshuffling. CoRR Bicheng Ying, Kun Yuan, Stefan Vlaski, Ali H. Sayed
2017	—	`conf`	A blind Adaptive Stimulation Artifact Rejection (ASAR) engine for closed-loop implantable neuromodulation systems. NER Sina Basir-Kazeruni, Stefan Vlaski, Hawraa Salami, Ali H. Sayed, Dejan Markovic
2017	Misc	`conf`	On the performance of random reshuffling in stochastic learning. ITA Bicheng Ying, Kun Yuan, Stefan Vlaski, Ali H. Sayed
2016	Misc	`conf`	Diffusion stochastic optimization with non-smooth regularizers. ICASSP Stefan Vlaski, Lieven Vandenberghe, Ali H. Sayed
2016	—	`conf`	Stochastic gradient descent with finite samples sizes. MLSP Kun Yuan, Bicheng Ying, Stefan Vlaski, Ali H. Sayed
2016	—	`conf`	The brain strategy for online learning. GlobalSIP Stefan Vlaski, Bicheng Ying, Ali H. Sayed
2015	Misc	`conf`	Proximal diffusion for stochastic costs with non-differentiable regularizers. ICASSP Stefan Vlaski, Ali H. Sayed
2014	—	`conf`	Robust bootstrap based observation classification for Kalman Filtering in harsh LOS/NLOS environments. SSP Stefan Vlaski, Abdelhak M. Zoubir
2014	Misc	`conf`	Robust bootstrap methods with an application to geolocation in harsh LOS/NLOS environments. ICASSP Stefan Vlaski, Michael Muma, Abdelhak M. Zoubir