Sharper Rates and Flexible Framework for Nonconvex SGD with Client and Data Sampling

5 June 2022

Papers citing "Sharper Rates and Flexible Framework for Nonconvex SGD with Client and Data Sampling"

5 / 5 papers shown

Title
Correlated Quantization for Faster Nonconvex Distributed Optimization Andrei Panferov Yury Demidovich Ahmad Rammal Peter Richtárik MQ 51 4 0 10 Jan 2024
Can 5th Generation Local Training Methods Support Client Sampling? Yes! Michal Grudzieñ Grigory Malinovsky Peter Richtárik 37 29 0 29 Dec 2022
FL_PyTorch: optimization research simulator for federated learning Konstantin Burlachenko Samuel Horváth Peter Richtárik FedML 53 18 0 07 Feb 2022
Permutation Compressors for Provably Faster Distributed Nonconvex Optimization Rafal Szlendak Alexander Tyurin Peter Richtárik 135 35 0 07 Oct 2021
Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization Samuel Horváth Lihua Lei Peter Richtárik Michael I. Jordan 57 30 0 13 Feb 2020