I am pleased to announce the launch of FHERMA, a new community platform for developing a modular library of FHE components for privacy-preserving applications. FHERMA is a joint project of Yasha Lab and OpenFHE teams. The key goal of this project is to facilitate the development of efficient applications based on FHE.
The main idea is to use FHE challenges as the core mechanism for building up the library of FHE components for application developers. The initial FHE challenges are motivated by machine learning applications and are based on OpenFHE. The current challenges are encrypted matrix multiplication, sign/comparison evaluation, and logistic regression inference. More advanced challenges are coming soon. Check out the FHERMA website (https://fherma.io) and the FHE Challenges category of the OpenFHE Discourse Forum for more details, and take part in the FHE challenges!