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distributed-sgd's Introduction

Distributed-SGD

An implementation of distributed stochastic gradient descent for both local and remote clients.

The paper describing this project.

Usage

The usage varies depending on the native language.

Please see the respective directory for the language you are interested in:

Usage in python

Usage in lua/torch

Table of Contents

.
├── lua-lua	     # Implementation of Distributed SGD in lua/torch
├── python-python # Implementation of Distributed SGD in python
├── slides # presentation slides about this project
├──.gitignore	
├──.gitmodules 
├── Dev-Notebook-Kevin.md # Development notes
├── Dev-Notebook-Mike.md
├── README.md
└── client_list.txt # List of available server ip addresses

Primary contributors

Kevin Yang

Michael Farrell

distributed-sgd's People

Contributors

michaelfarrell76 avatar

Watchers

Zhang JinXiong（张金雄） avatar

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