Stefan Vlaski

722 total citations
44 papers, 372 citations indexed

About

Stefan Vlaski is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Mechanics. According to data from OpenAlex, Stefan Vlaski has authored 44 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 24 papers in Computer Networks and Communications and 9 papers in Computational Mechanics. Recurrent topics in Stefan Vlaski's work include Distributed Control Multi-Agent Systems (14 papers), Stochastic Gradient Optimization Techniques (14 papers) and Distributed Sensor Networks and Detection Algorithms (13 papers). Stefan Vlaski is often cited by papers focused on Distributed Control Multi-Agent Systems (14 papers), Stochastic Gradient Optimization Techniques (14 papers) and Distributed Sensor Networks and Detection Algorithms (13 papers). Stefan Vlaski collaborates with scholars based in Switzerland, United Kingdom and United States. Stefan Vlaski's co-authors include Ali H. Sayed, Roula Nassif, Cédric Richard, Jie Chen, Kun Yuan, Bicheng Ying, Vincenzo Matta, Pascal Frossard, Lieven Vandenberghe and Marc Antonini and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Stefan Vlaski

38 papers receiving 367 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stefan Vlaski Switzerland 12 187 165 113 52 46 44 372
Roula Nassif France 13 203 1.1× 156 0.9× 199 1.8× 116 2.2× 50 1.1× 28 403
John Z. Sun United States 9 78 0.4× 52 0.3× 75 0.7× 59 1.1× 75 1.6× 15 305
Brian Baingana United States 9 64 0.3× 171 1.0× 42 0.4× 19 0.4× 17 0.4× 17 321
Antony Joseph United States 8 104 0.6× 77 0.5× 53 0.5× 27 0.5× 103 2.2× 14 297
Md. Faijul Amin Japan 9 43 0.2× 222 1.3× 16 0.1× 39 0.8× 30 0.7× 19 361
Ofer Shayevitz Israel 10 217 1.2× 119 0.7× 14 0.1× 7 0.1× 269 5.8× 51 395
Umut Şimşekli Türkiye 10 22 0.1× 70 0.4× 42 0.4× 158 3.0× 43 0.9× 42 319
Ali Jamshidi Iran 16 391 2.1× 79 0.5× 28 0.2× 48 0.9× 361 7.8× 69 609
Kai Lu China 11 278 1.5× 79 0.5× 18 0.2× 49 0.9× 56 1.2× 53 458

Countries citing papers authored by Stefan Vlaski

Since Specialization
Citations

This map shows the geographic impact of Stefan Vlaski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stefan Vlaski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Vlaski more than expected).

Fields of papers citing papers by Stefan Vlaski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Vlaski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stefan Vlaski. The network helps show where Stefan Vlaski may publish in the future.

Co-authorship network of co-authors of Stefan Vlaski

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Vlaski. A scholar is included among the top collaborators of Stefan Vlaski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefan Vlaski. Stefan Vlaski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Park, Sangwoo, Stefan Vlaski, & Lajos Hanzo. (2025). Scalable Min-Max Optimization via Primal-Dual Exact Pareto Optimization. 2452–2456.
2.
Nassif, Roula, et al.. (2024). Matching centralized learning performance via compressed decentralized learning with error feedback. SPIRE - Sciences Po Institutional REpository. 431–435.
3.
Nassif, Roula, et al.. (2024). Differential Error Feedback for Communication-Efficient Decentralized Optimization. SPIRE - Sciences Po Institutional REpository. 1–5. 3 indexed citations
4.
Nassif, Roula, Soummya Kar, & Stefan Vlaski. (2024). Learning Dynamics of Low-Precision Clipped SGD with Momentum. SPIRE - Sciences Po Institutional REpository. 6075–6079.
5.
Vlaski, Stefan, et al.. (2023). Privatized graph federated learning. EURASIP Journal on Advances in Signal Processing. 2023(1). 2 indexed citations
6.
Nassif, Roula, et al.. (2023). Quantization for Decentralized Learning Under Subspace Constraints. IEEE Transactions on Signal Processing. 71. 2320–2335. 21 indexed citations
7.
Vlaski, Stefan, et al.. (2023). Local Graph-Homomorphic Processing for Privatized Distributed Systems. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–5. 1 indexed citations
8.
Vlaski, Stefan, et al.. (2022). Federated Learning Under Importance Sampling. IEEE Transactions on Signal Processing. 70. 5381–5396. 28 indexed citations
9.
Vlaski, Stefan, et al.. (2021). Distributed Meta-Learning with Networked Agents. 2021 29th European Signal Processing Conference (EUSIPCO). 1361–1365. 2 indexed citations
10.
Nassif, Roula, Stefan Vlaski, & Ali H. Sayed. (2020). Adaptation and Learning Over Networks Under Subspace Constraints & x2014;Part II: Performance Analysis. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 12 indexed citations
11.
Nassif, Roula, Stefan Vlaski, Cédric Richard, & Ali H. Sayed. (2020). Learning Over Multitask Graphs—Part II: Performance Analysis. SHILAP Revista de lepidopterología. 8 indexed citations
12.
Nassif, Roula, Stefan Vlaski, Cédric Richard, Jie Chen, & Ali H. Sayed. (2020). Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning. IEEE Signal Processing Magazine. 37(3). 14–25. 64 indexed citations
13.
Nassif, Roula, Stefan Vlaski, & Ali H. Sayed. (2020). Adaptation and Learning Over Networks Under Subspace Constraints—Part I: Stability Analysis. IEEE Transactions on Signal Processing. 68. 1346–1360. 24 indexed citations
14.
Nassif, Roula, Stefan Vlaski, Cédric Richard, & Ali H. Sayed. (2020). Learning Over Multitask Graphs—Part I: Stability Analysis. SHILAP Revista de lepidopterología. 23 indexed citations
15.
Merched, Ricardo, Stefan Vlaski, & Ali H. Sayed. (2019). Enhanced Diffusion Learning Over Networks. 1–5. 3 indexed citations
16.
Vlaski, Stefan & Ali H. Sayed. (2019). Diffusion Learning in Non-convex Environments. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 5262–5266. 7 indexed citations
17.
Nassif, Roula, Stefan Vlaski, Cédric Richard, & Ali H. Sayed. (2018). A Regularization Framework for Learning Over Multitask Graphs. IEEE Signal Processing Letters. 26(2). 297–301. 13 indexed citations
18.
Nassif, Roula, Stefan Vlaski, & Ali H. Sayed. (2018). Distributed Inference Over Multitask Graphs Under Smoothness. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 15. 1–5. 5 indexed citations
19.
Yuan, Kun, Bicheng Ying, Stefan Vlaski, & Ali H. Sayed. (2016). Stochastic gradient descent with finite samples sizes. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–6. 14 indexed citations
20.
Vlaski, Stefan & Abdelhak M. Zoubir. (2014). Robust bootstrap based observation classification for Kalman Filtering in harsh LOS/NLOS environments. 332–335. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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