Federated Learning for Tabular Data: Exploring Potential Risk to Privacy. Wu, H., Zhao, Z., Chen, L. Y., & van Moorsel, A. In IEEE 33rd International Symposium on Software Reliability Engineering, ISSRE 2022, Charlotte, NC, USA, October 31 - Nov. 3, 2022, pages 193–204, 2022. IEEE.
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/issre/Wu0CM22,
  author       = {Han Wu and
                  Zilong Zhao and
                  Lydia Y. Chen and
                  Aad van Moorsel},
  title        = {Federated Learning for Tabular Data: Exploring Potential Risk to Privacy},
  booktitle    = {{IEEE} 33rd International Symposium on Software Reliability Engineering,
                  {ISSRE} 2022, Charlotte, NC, USA, October 31 - Nov. 3, 2022},
  pages        = {193--204},
  publisher    = {{IEEE}},
  year         = {2022},
  url          = {https://doi.org/10.1109/ISSRE55969.2022.00028},
  doi          = {10.1109/ISSRE55969.2022.00028},
  timestamp    = {Fri, 02 Aug 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/issre/Wu0CM22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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