LP-HENN: fully homomorphic encryption accelerator with high energy efficiency

LP-HENN: fully homomorphic encryption accelerator with high energy efficiency

Abstract Fully homomorphic encryption (FHE) enables direct computation on encrypted data without decryption, ensuring data privacy in cloud computing scenarios and preventing the leakage of sensitive information. However, the computational overhead of HE typically exceeds that of plaintext computati...

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Bibliographic Details
Main Authors: Zhuoyu Tian, Lei Chen, Shengyu Fan, Xianglong Deng, Rui Hou, Dan Meng, Mingzhe Zhang
Format: Article
Language:English
Published: SpringerOpen 2025-05-01
Series:Cybersecurity
Subjects:
Fully homomorphic encryption
Convolutional neural network
RISC-V
Resistive random access memory
Domain-specific architecture
Online Access:https://doi.org/10.1186/s42400-025-00360-x
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https://doi.org/10.1186/s42400-025-00360-x

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