Homomorphic Training of 30,000 Logistic Regression Models-Reference-Cited by-同舟云学术

Homomorphic Training of 30,000 Logistic Regression Models

Published:2019 Issue: Volume: Page:592-611
ISSN:0302-9743
Container-title:Applied Cryptography and Network Security
language:
Short-container-title:

Author:

Bergamaschi Flavio,Halevi Shai,Halevi Tzipora T.,Hunt Hamish

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-21568-2_29

Reference19 articles.

1. Bonte, C., Vercauteren, F.: Privacy-preserving logistic regression training. BMC Medi. Genom. 11(Suppl 4), 86 (2018). https://doi.org/10.1186/s12920-018-0398-y

2. Bontempi, G., Pozzolo, A.D., Caelen, O., Johnson, R.A.: Credit card fraud detection. Technical report, Université Libre de Bruxelles (2015)

3. Bootwala, A.: Titanic for Binary logistic regression. https://www.kaggle.com/azeembootwala/titanic/home

4. Brakerski, Z., Gentry, C., Vaikuntanathan, V.: Fully homomorphic encryption without bootstrapping. In: Innovations in Theoretical Computer Science (ITCS 2012) (2012). http://eprint.iacr.org/2011/277

5. Bubeck, S.: ORF523: Nesterov’s accelerated gradient descent. https://blogs.princeton.edu/imabandit/2013/04/01/acceleratedgradientdescent . Accessed January 2019, 2013

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