An FPGA co-processor implementation of Homomorphic Encryption

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How researchers see this paper

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HEAX: An Architecture for Computing on Encrypted Data (2019, methodology): “watt of power than FPGAs by design. Therefore, FPGAs are more suitable candidates for high-performance, low-power secure computation in the cloud. Acceleration of YASHE and LTV Schemes. Several works [58, 24, 27, 59, 20, 21] focus on improving the performance of YASHE [9] and LTV [53] schemes or the”
HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud (2019, background): “Several works [58, 24, 27, 59, 20, 21] focus on improving the performance of YASHE [9] and LTV [53] schemes or their variants.”
F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption (2021, background): “Prior FHE accelerators [20, 22, 27, 65, 66, 71] target individual FHE operations, and miss important ones that they leave to software.”