Designing an FPGA-Accelerated Homomorphic Encryption Co-Processor

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HEAX: An Architecture for Computing on Encrypted Data (2019, methodology): “. FPGA-based Co-Processors. Designing co-processors has also been studied in the literature. These co-processors work in conjunction with CPUs and accelerate one or more of the homomorphic operations [45, 55, 21, 38, 56, 49]. In [55] and [38, 56], authors focus on designing hardware architecture for”
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.”
HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud (2019, methodology): “Several works [58, 24, 27, 59, 20, 21] focus on improving the performance of YASHE [9] and LTV [53] schemes or their variants.”
HEPCloud: An FPGA-Based Multicore Processor for FV Somewhat Homomorphic Function Evaluation (2018, result): “Hence, it is not surprising that during the recent years several publications [8], [13], [14], [15], [26], [28], [31], [33], [40], [41] have reported results”