Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy

Zhiqi Bu, Jialin Mao, Shiyun Xu. Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{BuMX22,
  title = {Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy},
  author = {Zhiqi Bu and Jialin Mao and Shiyun Xu},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/fa5617c176e76fee83f3f9947fdf9f3f-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/BuMX22},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}