kubershahi/mphasis_ppml
Repo for Mphasis PPML Research Project
This project helps data scientists and machine learning engineers perform privacy-preserving machine learning. It allows you to train linear or logistic regression models on sensitive datasets while keeping the underlying data encrypted and confidential. This means you can collaborate on data analysis without directly exposing raw private information.
No commits in the last 6 months.
Use this if you need to train machine learning models on sensitive data, such as medical records or financial information, while ensuring that the raw data remains private and unexposed to other parties.
Not ideal if you are looking for a plug-and-play solution for complex machine learning tasks, as this project is a research implementation focused on specific secure regression algorithms.
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Language
C++
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Last pushed
Jan 10, 2025
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