Stefan Vlaski

Lecturer, Imperial College London


Imperial College London

South Kensington Campus

Room 810, EEE Building

London SW7 2BT, UK

I am Lecturer (equivalent to Assistant Professor) at Imperial College London, where I am part of the Communication and Signal Processing Group within the Department of Electrical and Electronic Engineering.

My research interests focus around the intersection of machine learning (theory), optimization and network science. More details are available under the publications tab.

Before joining Imperial in 2021, I was Postdoctoral Researcher at the Adaptive Systems Laboratory at École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. I obtained my PhD from the University of California, Los Angeles (UCLA) in 2019, and completed my undergraduate degree with the Signal Processing Group at the Technical University, Darmstadt in Germany in 2013. A formal biography as well as academic CV are available here.

I am always looking for driven students and postdocs to work with. Please check the openings tab for details.


May 2023   We are organizing the 3rd Imperial Workshop on Intelligent Communications, supported as part of the IEEE ComSoc Excellence Camp Program, on the 19th and 20th of June, 2023. The workshop will feature keynotes by international speakers and poster sessions. Travel support is available for student authors (May 31st deadline).
Oct 2022   I currently have an opening for one fully funded international PhD studentship. Please see the advert for details. Update: This position has been filled, but I continue to support applications for departmental and College funding. Check the openings tab if interested.
Aug 2022   I am giving a keynote on “Provable and Efficient Learning over Networks” at STATOS in Belgrade, Serbia.
Jun 2022   I am speaking on “Decentralised Learning in Non-Convex Environments” at the “6GIC-CLICK Wireless AI” workshop hosted by the University of Surrey. Update: A recording is available on YouTube.
May 2022   We are presenting a tutorial on “Federated and Decentralized Multitask Learning” with Roula Nassif and Ali H. Sayed at IEEE ICASSP in Singapore.
Sep 2021   I am starting a new position as Lecturer (Assistant Professor) at Imperial College London.

selected publications

  1. Networked Signal and Information Processing
    Stefan VlaskiSoummya KarAli H. Sayed, and José M. F. Moura
    available as arXiv:2210.13767, 2022
  2. Dif-MAML: Decentralized Multi-Agent Meta-Learning
    Mert KayaalpStefan Vlaski, and Ali H. Sayed
    IEEE Open Journal of Signal Processing, 2022
  3. 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
  4. Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning
    Roula NassifStefan VlaskiCédric RichardJie Chen, and Ali H. Sayed
    IEEE Signal Processing Magazine, 2020