Shulgin, Egor

10 publications

ICLR 2025 MAST: Model-Agnostic Sparsified Training Yury Demidovich, Grigory Malinovsky, Egor Shulgin, Peter Richtárik

NeurIPSW 2024 On the Convergence of DP-SGD with Adaptive Clipping Egor Shulgin, Peter Richtárik

NeurIPSW 2024 SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Nonconvex Cross-Device Federated Learning Avetik Karagulyan, Egor Shulgin, Abdurakhmon Sadiev, Peter Richtárik

ICML 2024 Towards a Better Theoretical Understanding of Independent Subnetwork Training Egor Shulgin, Peter Richtárik

ICMLW 2023 Towards a Better Theoretical Understanding of Independent Subnetwork Training Egor Shulgin, Peter Richtárik

NeurIPSW 2023 Towards a Better Theoretical Understanding of Independent Subnetwork Training Egor Shulgin, Peter Richtárik

NeurIPSW 2022 Certified Robustness in Federated Learning Motasem Alfarra, Juan Camilo Perez, Egor Shulgin, Peter Richtárik, Bernard Ghanem

UAI 2022 Shifted Compression Framework: Generalizations and Improvements Egor Shulgin, Peter Richtárik

ICML 2021 ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks Dmitry Kovalev, Egor Shulgin, Peter Richtarik, Alexander V Rogozin, Alexander Gasnikov

AISTATS 2020 Revisiting Stochastic Extragradient Konstantin Mishchenko, Dmitry Kovalev, Egor Shulgin, Peter Richtarik, Yura Malitsky