Force: Highly Efficient Four-Party Privacy-Preserving Machine Learning on GPU

Author:

Dai Tianxiang,Duan Li,Jiang Yufan,Li Yong,Mei Fei,Sun Yulian

Publisher

Springer Nature Switzerland

Reference55 articles.

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3. Bogdanov, D., Niitsoo, M., Toft, T., Willemson, J.: High-performance secure multi-party computation for data mining applications. Int. J. Inf. Secur. 11(6), 403–418 (2012)

4. Bonawitz, K.A., et al.: Practical secure aggregation for federated learning on user-held data. CoRR abs/1611.04482 (2016)

5. Byali, M., Chaudhari, H., Patra, A., Suresh, A.: Flash: fast and robust framework for privacy-preserving machine learning. Proc. Priv. Enh. Technol. 2, 459–480 (2020)

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