Samuel Horvath

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 here.

Education:

• 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