Portrait of Charles-Etienne Joseph is unavailable

Charles-Etienne Joseph

charles-etienne.joseph@mila.quebec
Master's Research - Université de Montréal
Supervisor
Eugene Belilovsky
Co-supervisor
Guy Wolf
Github

Publications

Can We Learn Communication-Efficient Optimizers?
Charles-Étienne Joseph
Benjamin Thérien
Abhinav Moudgil
Boris Knyazev
Eugene Belilovsky
2023-12-02
ArXiv (preprint)
doi.org
arxiv.org
Learning Optimizers for Local SGD
Charles-Étienne Joseph
Benjamin Thérien
Abhinav Moudgil
Boris Knyazev
Eugene Belilovsky
2023-10-27
NeurIPS.cc/2023/Workshop/Federated_Learning (poster)
openreview.net
openreview.net
Learning Optimizers for Local SGD
Charles-Étienne Joseph
Benjamin Thérien
Abhinav Moudgil
Boris Knyazev
Eugene Belilovsky
Communication-efficient variants of SGD, specifically local SGD, have received a great deal of interest in recent years. These approaches co… (see more)mpute multiple gradient steps locally, that is on each worker, before averaging model parameters, helping relieve the critical communication bottleneck in distributed deep learning training. Although many variants of these approaches have been proposed, they can sometimes lag behind state-of-the-art optimizers for deep learning. In this work, we incorporate local optimizers that compute multiple updates into a learned optimization framework, allowing to meta-learn potentially more efficient local SGD algorithms. Our results demonstrate that local learned optimizers can substantially outperform local SGD and its sophisticated variants while maintaining their communication efficiency. We show that the learned optimizers can generalize to new datasets and architectures, demonstrating the potential of learned optimizers for improving communication-efficient distributed learning.
2000-01-01
(published)
www.semanticscholar.org