Thijs Vogels, Sai Praneeth Karimireddy, Martin Jaggi. PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 14236-14245, 2019. [doi]
@inproceedings{VogelsKJ19,
title = {PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization},
author = {Thijs Vogels and Sai Praneeth Karimireddy and Martin Jaggi},
year = {2019},
url = {http://papers.nips.cc/paper/9571-powersgd-practical-low-rank-gradient-compression-for-distributed-optimization},
researchr = {https://researchr.org/publication/VogelsKJ19},
cites = {0},
citedby = {0},
pages = {14236-14245},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}