Biography
I am a PhD student working on optimization for machine learning and federated learning at King Abdullah University of Science and Technology (KAUST), advised by Professor Peter Richtárik. Before that, I completed both my undergraduate and graduate degrees in applied mathematics and physics at Moscow Institute of Physics and Technology (MIPT), where I worked under the supervision of Professor Alexander Gasnikov.
Interests
- Optimization
- Variational Inequalities
- Federated Learning
Education
PhD in Computer Science , 2022 - Present
King Abdullah University of Science and Technology
MSc in Applied Mathematics and Physics, 2022
Moscow Institute of Physics and Technology
BSc in Applied Mathematics and Physics, 2020
Moscow Institute of Physics and Technology
Recent Publications
Quickly discover relevant content by filtering publications.
(2024).
SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning.
arXiv preprint arXiv:2405.20127.
(2024).
A Unified Theory of Stochastic Proximal Point Methods without Smoothness.
arXiv preprint arXiv:2405.15941.
(2024).
Stochastic proximal point methods for monotone inclusions under expected similarity.
arXiv preprint arXiv:2405.14255.
(2023).
High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise.
arXiv preprint arXiv:2310.01860.
(2023).
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance.
arXiv preprint arXiv:2302.00999.