APA   Click to copy
Yang, Y., Kuppannagari, S. R., Kannan, R., & Prasanna, V. K. (2022). FPGA accelerator for homomorphic encrypted sparse convolutional neural network inference. In 2022 IEEE 30th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) (pp. 1–9). IEEE.

Chicago/Turabian   Click to copy
Yang, Yang, Sanmukh R Kuppannagari, Rajgopal Kannan, and Viktor K Prasanna. “FPGA Accelerator for Homomorphic Encrypted Sparse Convolutional Neural Network Inference.” In 2022 IEEE 30th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 1–9. IEEE, 2022.

MLA   Click to copy
Yang, Yang, et al. “FPGA Accelerator for Homomorphic Encrypted Sparse Convolutional Neural Network Inference.” 2022 IEEE 30th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), IEEE, 2022, pp. 1–9.

@inproceedings{yang2022a,
  title = {FPGA accelerator for homomorphic encrypted sparse convolutional neural network inference},
  year = {2022},
  organization = {IEEE},
  pages = {1--9},
  author = {Yang, Yang and Kuppannagari, Sanmukh R and Kannan, Rajgopal and Prasanna, Viktor K},
  booktitle = {2022 IEEE 30th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)}
}