Zama Product Announcement - October 2022
Blog post from Zama
Zama has released major updates to four of its libraries, enhancing its suite of products aimed at making fully homomorphic encryption (FHE) more accessible, easy, and fast. Concrete Core v1.0 offers a platform for integrating FHE primitives on any hardware, focusing on improving performance through hardware acceleration. Concrete v0.2 builds on Concrete-core v1.0 by deprecating certain crates, optimizing Fourier transforms, parallelizing key generation, and supporting Apple Silicon architectures. Meanwhile, Concrete Numpy v0.8 has been rewritten to reduce technical debts and now supports Python 3.7 and 3.10, large bit width support, and tensor assignments. Lastly, Concrete ML v0.4 introduces support for quantization aware training neural networks, decision tree-ensemble regressors, and additional linear regression models, with first-class support for Brevitas, a quantization aware training framework.
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