Medha: Microcoded Hardware Accelerator for computing on Encrypted Data. (arXiv:2210.05476v2 [cs.CR] UPDATED)

Homomorphic encryption (HE) enables computation on encrypted data, and hence
it has a great potential in privacy-preserving outsourcing of computations to
the cloud. Hardware acceleration of HE is crucial as software implementations
are very slow. In this paper, we present design methodologies for building a
programmable hardware accelerator for speeding up the cloud-side homomorphic
evaluations on encrypted data. First, we propose a divide-and-conquer technique
that enables homomorphic evaluations in a large polynomial ring $R_{Q,2N}$ to
use a hardware accelerator that …

computing data encrypted encrypted data hardware