[Video tutorial] Speed Up Neural Networks with Approximate Rounding Using Concrete
Blog post from Zama
Concrete is an open-source FHE Compiler designed to simplify the implementation of fully homomorphic encryption (FHE) by utilizing a TFHE Compiler based on LLVM, which facilitates the development of FHE programs. In a tutorial by Zama team member Rudy Sicard, users are guided on accelerating neural networks through approximate rounding with Concrete. The framework is supported by resources such as Zama's GitHub repository, documentation, community support channels, and the Zama Bounty Program, which encourages contributions to advance the FHE space.
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