https://github.com/jaytoday/enclaveML

A framework for tokenized federated learning
https://github.com/jaytoday/enclaveML

Last synced: about 1 month ago
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A framework for tokenized federated learning

• Host: GitHub
• URL: https://github.com/jaytoday/enclaveML
• Owner: jaytoday
• Created: 2019-07-11T22:28:50.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-05-06T16:04:04.000Z (over 3 years ago)
• Last Synced: 2024-05-22T07:51:21.015Z (7 months ago)
• Language: JavaScript
• Homepage: https://jamslevy.github.io/enclaveML
• Size: 2.92 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• Awesome-SGX-Open-Source - https://github.com/jamslevy/enclaveML

README

        
# enclaveML

EnclaveML is an experimental framework that preserves data privacy with a federating learning workflow.

[Federated learning](https://federated.withgoogle.com/) preserves data privacy by training models without needing training data needing to leave a local device. Instead of data being sent to a centralized server for training a machine learning model, the model is sent to each client to train on local data that does not need to be transmitted to a server. 

## Getting Started 

After cloning the repository, install dependencies and start the development server. 

```

npm i

npm start

```

The development server can be viewed by navigating to `localhost:3000` in a web browser.

[View demo](https://jamslevy.github.io/enclaveML).