Dmitry Kovalev

Stochastic Distributed Learning with Gradient Quantization and Variance Reduction

Samuel Horváth, Dmitry Kovalev, Konstantin Mishchenko et al. · arXiv (Cornell University) · 2019 · 81 citations · Full text

Engineering, Machine Learning, Gradient Quantization +13

Wind Hazard and Turbulence Monitoring at Airports with Lidar, Radar, and Mode-S Downlinks: The UFO Project

A.C.P. Oude Nijhuis, Ludovic Thobois, Frédéric Barbaresco et al. · Bulletin of the American Meteorological Society · 2018 · 48 citations · Full text

Environmental Monitoring, Engineering, Ultrafast Wind Sensors +23

From Local SGD to Local Fixed Point Methods for Federated Learning

Grigory Malinovskiy, Dmitry Kovalev, Elnur Gasanov et al. · International Conference on Machine Learning · 2020 · 46 citations

Artificial Intelligence, Mathematical Programming, Computational Science +15

Stochastic distributed learning with gradient quantization and double-variance reduction

Samuel Horváth, Dmitry Kovalev, Konstantin Mishchenko et al. · Optimization methods & software · 2022 · 43 citations · Full text

Engineering, Machine Learning, Gradient Quantization +11

Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization

Zhize Li, Dmitry Kovalev, Xun Qian et al. · arXiv (Cornell University) · 2020 · 37 citations · Full text