PPGNN: Fast and Accurate Privacy-Preserving Graph Neural Network Inference via Parallel and Pipelined Arithmetic-and-Logic FHE Accelerator
Published in Proceedings of the 61st ACM/IEEE Design Automation Conference (DAC), 2024
PPGNN accelerates privacy-preserving graph neural network inference with parallel and pipelined arithmetic-and-logic FHE hardware.
Recommended citation: Y. Wei, X. Wang, S. Bian, Y. Huang, W. Zhao, and Y. Jin, "PPGNN: Fast and Accurate Privacy-Preserving Graph Neural Network Inference via Parallel and Pipelined Arithmetic-and-Logic FHE Accelerator," Proceedings of the 61st ACM/IEEE Design Automation Conference (DAC), 2024, Article 273, pp. 1-6. DOI: 10.1145/3649329.3656517.
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