Distributed-SGD
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Parallel SGD, done locally and remote
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