At Zama, our goal is not only to make FHE accessible to all developers, but also to make it extremely fast.
Zama Concrete ML now supports training of Logistic Regression models on encrypted data.
A look at the design of an end-to-end encrypted version of Shazam using FHE
A Solution to a16z Nakamoto Challenge on Compliant Programmable Privacy using Fully Homomorphic Encryption
How to code the Game of Life in Python using Zama Concrete library.
Deploy LLMs on-premise and secure the model IP and the user's privacy using Concrete ML