Falcon: Algorithm-Hardware Co-Design for Efficient Fully Homomorphic Encryption Accelerator
Liang Kong, Xianglong Deng, Guang Fan, Shengyu Fan, Lei Chen, Yilan Zhu, Geng Yang, Yisong Chang, Shoumeng Yan, Mingzhe Zhang
Abstract
Fully homomorphic encryption (FHE) enables computation on encrypted data without compromising privacy, positioning it as a promising solution for secure cloud computing. However, its substantial computational overhead impedes practical deployment, prompting the development of dedicated hardware accelerators. In practice, when deploying cryptographic algorithm optimizations on FHE accelerators, hardware constraints typically such as limited memory capacity, often lead to a disparity between theoretical algorithmic advantage and achievable hardware efficiency.
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