Energy-Efficient Flexible RNS-CKKS Processor for FHE-Based Privacy-Preserving Computing

This article proposes a total hardware solution for the RNS-CKKS algorithm supporting flexible parameter sets with 2.7-to-13.3-<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>J/boot/slot energy consumption. Targeting fully homomorphic encryption (FHE), we focus on the key-switch operation, which is the most essential, complicated operation for the bootstrapping process to alleviate accumulated error and enable unlimited FHE computations. Introducing novel two-level scheduling schemes for low-latency key-switch operation, the proposed hardware reduces key-switch latency by 47% and increases resource utilization by <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1.9\times $ </tex-math></inline-formula> compared with a straightforward process. Moreover, with optimized hardware engines dynamically supporting various ciphertext parameter sets, the proposed hardware fabricated in 28-nm CMOS technology enables the most efficient FHE operations with various bit-security levels than conventional hardware, especially <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$4.3\times $ </tex-math></inline-formula> better bootstrapping energy efficiency than state-of-the-art hardware.

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Publication Details

Journal
IEEE Journal of Solid-State Circuits
Published
2024-12-11
DOI
https://doi.org/10.1109/jssc.2024.3510917
Citations
1
Primary Topic
Cryptography and Residue Arithmetic
Type
article
Field-Weighted Citation Impact
0.78
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article

Energy-Efficient Flexible RNS-CKKS Processor for FHE-Based Privacy-Preserving Computing

Hyunhoon Lee, Hyeokjun Kwon, Youngjoo Lee, Gyuhyun Jung
1 citations
IEEE Journal of Solid-State Circuits
Cryptography and Residue Arithmetic
0.78
article

Energy-Efficient Flexible RNS-CKKS Processor for FHE-Based Privacy-Preserving Computing

Hyunhoon Lee, Hyeokjun Kwon, Youngjoo Lee, Gyuhyun Jung
article en
1 citations

Abstract

This article proposes a total hardware solution for the RNS-CKKS algorithm supporting flexible parameter sets with 2.7-to-13.3-<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>J/boot/slot energy consumption. Targeting fully homomorphic encryption (FHE), we focus on the key-switch operation, which is the most essential, complicated operation for the bootstrapping process to alleviate accumulated error and enable unlimited FHE computations. Introducing novel two-level scheduling schemes for low-latency key-switch operation, the proposed hardware reduces key-switch latency by 47% and increases resource utilization by <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1.9\times $ </tex-math></inline-formula> compared with a straightforward process. Moreover, with optimized hardware engines dynamically supporting various ciphertext parameter sets, the proposed hardware fabricated in 28-nm CMOS technology enables the most efficient FHE operations with various bit-security levels than conventional hardware, especially <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$4.3\times $ </tex-math></inline-formula> better bootstrapping energy efficiency than state-of-the-art hardware.

IEEE Journal of Solid-State CircuitsVol. 60(1)
Pohang University of Science and Technology (KR)
Affordable and clean energy
Openalex Percentile: Top 19%
Cryptography and Residue Arithmetic
0.78
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Energy-Efficient Flexible RNS-CKKS Processor for FHE-Based Privacy-Preserving Computing — Hyunhoon Lee, Hyeokjun Kwon, et al. · IEEE Journal of Solid-State Circuits (2024) | TGRS Research Map | TGRS