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DiLoCo: Distributed Low-Communication Training of Language Models

DiLoCo: Distributed Low-Communication Training of Language Models

14 November 2023
Arthur Douillard
Qixuang Feng
Andrei A. Rusu
Rachita Chhaparia
Yani Donchev
A. Kuncoro
MarcÁurelio Ranzato
Arthur Szlam
Jiajun Shen
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Papers citing "DiLoCo: Distributed Low-Communication Training of Language Models"

9 / 9 papers shown
Title
Pseudo-Asynchronous Local SGD: Robust and Efficient Data-Parallel Training
Pseudo-Asynchronous Local SGD: Robust and Efficient Data-Parallel Training
Hiroki Naganuma
Xinzhi Zhang
Man-Chung Yue
Ioannis Mitliagkas
Philipp A. Witte
Russell J. Hewett
Yin Tat Lee
65
0
0
25 Apr 2025
EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models
EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models
Jialiang Cheng
Ning Gao
Yun Yue
Zhiling Ye
Jiadi Jiang
Jian Sha
OffRL
77
0
0
10 Dec 2024
Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training
Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training
Jared Fernandez
Luca Wehrstedt
Leonid Shamis
Mostafa Elhoushi
Kalyan Saladi
Yonatan Bisk
Emma Strubell
Jacob Kahn
200
3
0
20 Nov 2024
Revisiting Reliability in Large-Scale Machine Learning Research Clusters
Revisiting Reliability in Large-Scale Machine Learning Research Clusters
Apostolos Kokolis
Michael Kuchnik
John Hoffman
Adithya Kumar
Parth Malani
Faye Ma
Zachary DeVito
Siyang Song
Kalyan Saladi
Carole-Jean Wu
154
7
0
29 Oct 2024
DEPT: Decoupled Embeddings for Pre-training Language Models
DEPT: Decoupled Embeddings for Pre-training Language Models
Alex Iacob
Lorenzo Sani
Meghdad Kurmanji
William F. Shen
Xinchi Qiu
Dongqi Cai
Yan Gao
Nicholas D. Lane
VLM
147
0
0
07 Oct 2024
No Need to Talk: Asynchronous Mixture of Language Models
No Need to Talk: Asynchronous Mixture of Language Models
Anastasiia Filippova
Angelos Katharopoulos
David Grangier
Ronan Collobert
MoE
41
0
0
04 Oct 2024
WARP: On the Benefits of Weight Averaged Rewarded Policies
WARP: On the Benefits of Weight Averaged Rewarded Policies
Alexandre Ramé
Johan Ferret
Nino Vieillard
Robert Dadashi
Léonard Hussenot
Pierre-Louis Cedoz
Pier Giuseppe Sessa
Sertan Girgin
Arthur Douillard
Olivier Bachem
62
14
0
24 Jun 2024
Simple and Scalable Strategies to Continually Pre-train Large Language
  Models
Simple and Scalable Strategies to Continually Pre-train Large Language Models
Adam Ibrahim
Benjamin Thérien
Kshitij Gupta
Mats L. Richter
Quentin Anthony
Timothée Lesort
Eugene Belilovsky
Irina Rish
KELM
CLL
44
52
0
13 Mar 2024
Diverse Weight Averaging for Out-of-Distribution Generalization
Diverse Weight Averaging for Out-of-Distribution Generalization
Alexandre Ramé
Matthieu Kirchmeyer
Thibaud Rahier
A. Rakotomamonjy
Patrick Gallinari
Matthieu Cord
OOD
199
128
0
19 May 2022
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