# MindSpore Adaptive Distributed Training System Special Interest Group (SIG)
The elastic systems allow users to dynamically change the number of GPUs allocated to training jobs. The target of this SIG is to develop an adaptive distributed training system that can train the neural networks in elastic clusters without affecting the convergence. This working repo contains all the airtifacts, materials, meeting notes, and proposals regarding **Elastic Training** and **Adaptive Training**. Feedbacks and contributions are welcomed. 
1. **Elastic Training**: the number of GPUs could change without interrupting the traning process.
2. **Adaptive Training**: the training jobs could be reconfigured and scheduled adaptively when the training resource changes, so that the convergence speed is not affected.

## SIG Leads
Luo Mai (University of Edinburgh)
## Logistics
- SIG leads will drive the meeting.
- Meeting annoucement will be posted on our gitee channel: https://gitee.com/mindspore/community/tree/master/sigs/adaptivetraining
- Feedbacks and topic requests are welcomed by all.
## Discussion
- Slack channel: https://app.slack.com/client/T018BLCMSGL/learning-slack
- Documents and artifacts: https://gitee.com/mindspore/community/tree/master/sigs/adaptivetraining
## Meeting notes
