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DOE OSTI · 3006768

AI and Machine Learning with Encrypted Data (CRADA Final Report)

Sonsteng, Melanie·Green, Samuel·Ozcan, Ahmet
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Abstract

The proposed project aimed to develop faster algorithms for FHE and zk-SNARKs processing. The research team previously developed a fast Number Theoretic Transform (NTT) and other fast arithmetic algorithms. The project team explored using these fast algorithms to enable FHE and zk-SNARKSs acceleration, with specific attention to how the algorithms would need to be integrated into specific FHE and zk-SNARKs software packages to become useful. Existing FHE/zk-SNARKs software packages have been written for CPUs, however this project’s technology targeted FPGAs and GPUs. The team explored how to modify existing CPU software to support FPGAs/GPUs as well as ways they could implement entirely new software stacks that run purely on FPGAs/GPUs.

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BibTeXRIS

Sonsteng, Melanie, Green, Samuel, Ozcan, Ahmet. 2023-08-31. AI and Machine Learning with Encrypted Data (CRADA Final Report). https://doi.org/10.2172/3006768

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