Samuel Horvath

Assistant Professor

Department of Machine Learning

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)

Abu Dhabi, UAE

Email: samuel [dot] horvath (at) mbzuai [dot] ac [dot] ae

About me:

I am currently an assistant professor of Machine Learning at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). Prior to that, I completed my MS and Ph. D. in statistics at King Abdullah University of Science and Technology (KAUST), advised by professor Peter Richtárik. Before that, I was an undergraduate student in Financial Mathematics at Comenius University.

In my research, I focus on providing a fundamental understanding of how distributed and federated training algorithms work and how they interact with different sources of heterogeneity, such as system-level variability in the computing infrastructure and statistical variability in the training data. Inspired by the theoretical insights, I aim to design efficient and practical distributed/federated training algorithms.

I am broadly interested in federated learning, distributed optimization, and efficient deep learning.
I am always looking for collaborators. Please reach out if any of my work sounds interesting. For prospective students and interns, please have a look

Latest News (All News):


  • 2019 - 2022 Ph.D. in Statistics, King Abdullah University of Science & Technology (KAUST)

  • 2018 - 2019 MSc in Statistics, King Abdullah University of Science & Technology (KAUST)

  • 2014 - 2017 BSc in Applied Mathematics, Comenius University


  • (Fall 2021) Facebook AI Research, Montreal, hosted by Mike Rabbat

  • (Fall 2020) Samsung AI Center, Cambridge, hosted by Stefanos Laskaridis and Nicholas Lane

  • (Summer 2019) Amazon AWS, Berlin, hosted by Cédric Archambeau

  • (Spring 2019) University of California, Berkeley, hosted by Michael Jordan

Selected Awards:

  • (2022) Among Top 10% Reviewers, ICML 2022

  • (2022) Dean’s list, an academic excellence award for top Ph.D. student(s) at KAUST

  • (2021) Al-Kindi Statistics Research Student Award, a research award for top Statistics Ph.D. student(s) at KAUST

  • (2020) Best Paper Award (+ 1,888 USD cash prize), NeurIPS 2020–SpicyFL Workshop

  • (2020) Best Reviewer Award (Top 10%), NeurIPS 2020

  • (2018) Best Poster Award (+ 500 EUR cash prize), Data Science Summer School, awarded as one of 2 out of total of 170 posters presented at DS3 at École Polytechnique