Reconciling Privacy and Utility: An Unscented Kalman Filter-Based Framework for Differentially Private Machine Learning

Tang et al. "Reconciling Privacy and Utility: An Unscented Kalman Filter-Based Framework for Differentially Private Machine Learning." Machine Learning, 2023. doi:10.1007/S10994-022-06279-5

[Tang et al. "Reconciling Privacy and Utility: An Unscented Kalman Filter-Based Framework for Differentially Private Machine Learning." Machine Learning, 2023.](https://mlanthology.org/mlj/2023/tang2023mlj-reconciling/) doi:10.1007/S10994-022-06279-5

@article{tang2023mlj-reconciling,
  title     = {{Reconciling Privacy and Utility: An Unscented Kalman Filter-Based Framework for Differentially Private Machine Learning}},
  author    = {Tang, Kunsheng and Li, Ping and Song, Yide and Luo, Tian},
  journal   = {Machine Learning},
  year      = {2023},
  pages     = {311-351},
  doi       = {10.1007/S10994-022-06279-5},
  volume    = {112},
  url       = {https://mlanthology.org/mlj/2023/tang2023mlj-reconciling/}
}