This repository contains numerical experiments for "BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression" [PDF].
If you find this repo useful, please cite our paper
@article{zhao2022beer,
title={BEER: Fast O (1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression},
author={Zhao, Haoyu and Li, Boyue and Li, Zhize and Richt{\'a}rik, Peter and Chi, Yuejie},
journal={Advances in Neural Information Processing Systems},
volume = {35},
year={2022}
}
-
beer/
: framework for convolutional neural network experiments. -
experiments/experiments.ipynb
: code for synthetic numerical experiments. -
experiments/mnist/
: code and scripts for convolutional neural network experiments.
Please install [this package] first.
Then run pip install git+https://github.com/liboyue/beer.git
to install this package.