https://github.com/philips-software/fresco-logistic-regression-2
Logistic Regression in MPC using Fresco
https://github.com/philips-software/fresco-logistic-regression-2
Last synced: about 1 year ago
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Logistic Regression in MPC using Fresco
- Host: GitHub
- URL: https://github.com/philips-software/fresco-logistic-regression-2
- Owner: philips-software
- License: mit
- Archived: true
- Created: 2018-11-29T16:11:08.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2025-01-28T07:55:56.000Z (over 1 year ago)
- Last Synced: 2025-02-25T19:51:21.055Z (over 1 year ago)
- Language: Java
- Homepage:
- Size: 308 KB
- Stars: 3
- Watchers: 5
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.txt
Awesome Lists containing this project
README
Logistic Regression prototype using FRESCO
==========================================
A prototype for implementing [Logistic Regression][1] in the [FRESCO][2]
framework. This uses [Secure Multi-Party Computation][3] to calculate a logistic
regression on a combination of data sets from multiple parties, without
disclosing the data sets between parties.
Getting Started
---------------
The simplest way to get started is by running the `run.sh` script. When called
without arguments, it will print information on how to use it.
This project was developed using (and contains project files for) IntelliJ IDEA.
[1]: https://en.wikipedia.org/wiki/Logistic_regression
[2]: https://github.com/aicis/fresco
[3]: https://en.wikipedia.org/wiki/Secure_multi-party_computation