Education

 
 
 
 
 

Master of Science in Applied Mathematics and Physics

MIPT, Phystech School of Applied Mathematics and Informatics

Sept. 2021 – Present Moscow, Russia

Supervisor: Vadim Strijov

 
 
 
 
 

Master of Science in Applied Mathematics and Statistics

IP Paris, Department of Applied Mathematics

Sept. 2021 – Present Palaiseau, France

Supervisor: Olivier Fercoq

 
 
 
 
 

Bachelor of Science in Applied Mathematics and Physics

MIPT, Phystech School of Applied Mathematics and Informatics

Sept. 2017 – Jul. 2021 GPA 4.96/5 (9.27/10) Moscow, Russia

Thesis: Distributed Second Order Methods with Fast Rates and Compressed Communication

Supervisor: Peter Richtárik

Recent Posts

In our new paper we prove that a class of so called Three Point Compressors can be applied on Newton method. This result opens up a wide variety of communication strategies, such as a combination of contractive compression and lazy aggregation, available to our disposal to compress prohibitively costly curvature information.

I am very proud to announce that our FedNL paper was accepted to 39th International Conference on Machine Learning (ICML 2022).

Currenly I am in Lausanne. Here I have started my internship at Machine Learning and Optimization Lab, EPFL run by Prof. Martin Jaggi. I will work under the supervision of postdoctoral fellow Hadrien Hendrikx and Prof. Martin Jaggi.

Our paper: Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning, joint work with Xun Qian, Mher Safaryan, and Peter Richtàrik, was accepted to AISTATS 2022.

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