Philip Zmushko

According to our database, Philip Zmushko authored at least 6 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers.

Ionut-Vlad Modoranu, Philip Zmushko, Erik Schultheis, Mher Safaryan, Dan Alistarh

CoRR, February, 2026

2025

Sign-SGD is the Golden Gate between Multi-Node to Single-Node Learning: Significant Boost via Parameter-Free Optimization.

Daniil Medyakov, Sergey Stanko, Gleb Molodtsov, Philip Zmushko, Grigoriy Evseev, Egor Petrov, Aleksandr Beznosikov

CoRR, June, 2025

Sign Operator for Coping with Heavy-Tailed Noise: High Probability Convergence Bounds with Extensions to Distributed Optimization and Comparison Oracle.

Nikita Kornilov, Philip Zmushko, Andrei Semenov, Alexander V. Gasnikov, Aleksandr Beznosikov

CoRR, February, 2025

FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training.

Philip Zmushko, Aleksandr Beznosikov, Martin Takác, Samuel Horváth

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Label Privacy in Split Learning for Large Models with Parameter-Efficient Training.

Philip Zmushko, Marat Mansurov, Ruslan Svirschevski, Denis Kuznedelev, Max Ryabinin, Aleksandr Beznosikov

CoRR, 2024

Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning.

Andrei Semenov, Philip Zmushko, Alexander Pichugin, Aleksandr Beznosikov

CoRR, 2024