Zama Concrete ML now supports training of Logistic Regression models on encrypted data.
A tutorial on how to code a privacy-preserving version of Shazam using Zama Concrete ML.
A look at the design of an end-to-end encrypted version of Shazam using FHE
This tutorial walks you through one of the latest features of Concrete ML: FHE training.
This new version of Concrete ML introduces a highly anticipated feature by our community: FHE training.
Deploy LLMs on-premise and secure the model IP and the user's privacy using Concrete ML