ParSecureML: An Efficient Parallel Secure Machine Learning Framework on GPUs-Reference-Cited by-同舟云学术

ParSecureML: An Efficient Parallel Secure Machine Learning Framework on GPUs

Published:2020-08-17 Issue: Volume: Page:
ISSN:
Container-title:49th International Conference on Parallel Processing - ICPP
language:
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Author:

Chen Zheng¹,Zhang Feng¹,Zhou Amelie Chi²,Zhai Jidong³,Zhang Chenyang¹,Du Xiaoyong¹

Affiliation:

1. Renmin University of China

2. Shenzhen University

3. Tsinghua University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3404397.3404399

Reference64 articles.

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2. 2020. Jana: Private Data as a Service. https://galois.com/project/jana-private-data-as-a-service/. 2020. Jana: Private Data as a Service. https://galois.com/project/jana-private-data-as-a-service/.

3. 2020. The next generation of data-driven services with end-to-end data protection and accountability. https://sharemind.cyber.ee/. 2020. The next generation of data-driven services with end-to-end data protection and accountability. https://sharemind.cyber.ee/.

4. 2020. Transforming Trust. https://www.unboundtech.com/. 2020. Transforming Trust. https://www.unboundtech.com/.

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