Zhirayr Tovmasyan
I am an M.Sc. student in Computer Science at KAUST, working with Prof. Peter Richtárik. My research interests are broadly in optimization for machine learning, particularly large-scale and distributed learning.
I am especially interested in designing optimization algorithms that better capture the geometry of modern learning models, and in understanding how computational and communication constraints should shape their design at scale.
Research Interests
Optimization for Machine Learning · Large-Scale and Distributed Learning · Federated Learning
Selected Publications
- arXivRennala MVR: Improved Time Complexity for Parallel Stochastic Optimization via Momentum-Based Variance Reduction2026
- Under ReviewScaled Momentum Variance Reduction in Non-Euclidean Geometry2026Manuscript under review
Research & Industry Experience
CISPA Helmholtz Center for Information Security
Research Intern, June–August 2026
Supervised by Prof. Sebastian Stich.
Research on optimization methods for distributed learning, including FedMuon and SCAFFOLD.
King Abdullah University of Science and Technology (KAUST)
Visiting Student, September 2024–March 2025 · Remote Visiting Student, April–July 2025
Center of Excellence for Generative AI. Supervised by Prof. Peter Richtárik.
Aerodynamics LLC
Junior ML Engineer, October 2023–September 2024
Worked on computer vision projects.
Education
King Abdullah University of Science and Technology (KAUST)
M.Sc. in Computer Science, 2025–Present
Yerevan State University
B.Sc. in Computer Science, 2018–2024
GPA: 19.3/20
Selected Presentations
- ICLR 2026 — Poster Presenter, Rio de Janeiro, Brazil
- KAUST Rising Stars in AI Symposium 2026 — Poster Presenter
- Distributed Training in the Era of Large Models, 2025 — KAUST