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. 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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