Not Just Privacy
Author:
Affiliation:
1. National University of Defense Technology, Changsha, China
2. University of Illinois at Chicago, Chicago, IL, USA
3. Facebook Inc., Menlo Park, CA, USA
4. University of Illinois at Chicago &Tsinghua University, Chicago, IL, USA
Funder
National Natural Science Foundation of China
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3219819.3220106
Reference47 articles.
1. Deep Learning with Differential Privacy
2. Mart'ın Abadi and etal . 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. deftempurl%http://tensorflow.org/ tempurl Software available from tensorflow.org. Mart'ın Abadi and et al . 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. deftempurl%http://tensorflow.org/ tempurl Software available from tensorflow.org.
3. Frumusanu Andrei and Smith Ryan . 2015. Cortex A53 - performance and power - ARM A53/A57/T760 investigated. (2015). Frumusanu Andrei and Smith Ryan . 2015. Cortex A53 - performance and power - ARM A53/A57/T760 investigated. (2015).
4. Energy consumption in mobile phones
5. Bounds on the sample complexity for private learning and private data release
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