AHEC: End-to-end Compiler Framework for Privacy-preserving Machine Learning Acceleration. Chen, H., Cammarota, R., Valencia, F., Regazzoni, F., & Koushanfar, F. In 57th ACM/IEEE Design Automation Conference, DAC 2020, San Francisco, CA, USA, July 20-24, 2020, pages 1–6, 2020. IEEE.
AHEC: End-to-end Compiler Framework for Privacy-preserving Machine Learning Acceleration [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/dac/ChenCV0K20,
  author    = {Huili Chen and
               Rosario Cammarota and
               Felipe Valencia and
               Francesco Regazzoni and
               Farinaz Koushanfar},
  title     = {{AHEC:} End-to-end Compiler Framework for Privacy-preserving Machine
               Learning Acceleration},
  booktitle = {57th {ACM/IEEE} Design Automation Conference, {DAC} 2020, San Francisco,
               CA, USA, July 20-24, 2020},
  pages     = {1--6},
  publisher = {{IEEE}},
  year      = {2020},
  url       = {https://doi.org/10.1109/DAC18072.2020.9218508},
  doi       = {10.1109/DAC18072.2020.9218508},
  timestamp = {Fri, 04 Jun 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/conf/dac/ChenCV0K20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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