Improving the Utility of Differentially Private SGD by Employing Wavelet Transforms

Kanishka Ranaweera, David B. Smith 0001, Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding 0001, Thierry Rakotoarivelo, Aruna Seneviratne. Improving the Utility of Differentially Private SGD by Employing Wavelet Transforms. In Jingrui He, Themis Palpanas, Xiaohua Hu, Alfredo Cuzzocrea, Dejing Dou, Dominik Slezak, Wei Wang, Aleksandra Gruca, Jerry Chun-Wei Lin, Rakesh Agrawal 0001, editors, IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023. pages 1352-1359, IEEE, 2023. [doi]

@inproceedings{RanaweeraSNPDRS23,
  title = {Improving the Utility of Differentially Private SGD by Employing Wavelet Transforms},
  author = {Kanishka Ranaweera and David B. Smith 0001 and Dinh C. Nguyen and Pubudu N. Pathirana and Ming Ding 0001 and Thierry Rakotoarivelo and Aruna Seneviratne},
  year = {2023},
  doi = {10.1109/BigData59044.2023.10386897},
  url = {https://doi.org/10.1109/BigData59044.2023.10386897},
  researchr = {https://researchr.org/publication/RanaweeraSNPDRS23},
  cites = {0},
  citedby = {0},
  pages = {1352-1359},
  booktitle = {IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023},
  editor = {Jingrui He and Themis Palpanas and Xiaohua Hu and Alfredo Cuzzocrea and Dejing Dou and Dominik Slezak and Wei Wang and Aleksandra Gruca and Jerry Chun-Wei Lin and Rakesh Agrawal 0001},
  publisher = {IEEE},
  isbn = {979-8-3503-2445-7},
}