Scholar
Stefan Vlaski
Google Scholar ID: mghzVekAAAAJ
Imperial College London
Citations & Impact
Citations
1,099
H-index
18
i10-index
27
Publications
20
Co-authors
41
list available
Publications
Resume (English only)
Academic Achievements
- - Selected Publications:
- - "Quantization for Decentralized Learning Under Subspace Constraints", IEEE Transactions on Signal Processing, 2023
- - "Networked Signal and Information Processing: Learning by Multiagent Systems", IEEE Signal Processing Magazine, 2023
- - "Dif-MAML: Decentralized Multi-Agent Meta-Learning", IEEE Open Journal of Signal Processing, 2022
- - "Distributed Learning in Non-Convex Environments — Part II: Polynomial Escape From Saddle-Points", IEEE Transactions on Signal Processing, 2021
- - "Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning", IEEE Signal Processing Magazine, 2020
Research Experience
- - Lecturer at the Communication and Signal Processing Group, Department of Electrical and Electronic Engineering, Imperial College London since 2021
- - Previously a Postdoctoral Researcher at the Adaptive Systems Laboratory, EPFL, Switzerland
Education
- - PhD from University of California, Los Angeles (UCLA) in 2019
- - Completed undergraduate degree with the Signal Processing Group at Technical University, Darmstadt in Germany in 2013
- - Postdoctoral Researcher at the Adaptive Systems Laboratory, École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland before 2021
Background
- Lecturer (equivalent to Assistant Professor) at Imperial College London, with research interests focusing on the intersection of machine learning (theory), optimization, and network science.
Miscellany
- Looking for driven students and postdocs to work with. Organized the 3rd Imperial Workshop on Intelligent Communications and other academic activities.
