On Quantifying the Gradient Inversion Risk of Data Reuse in Federated Learning Systems. Huang, J., Chen, L. Y., & Roos, S. In 43rd International Symposium on Reliable Distributed Systems, SRDS 2024, Charlotte, NC, USA, September 30 - Oct. 3, 2024, pages 235–247, 2024. IEEE.
On Quantifying the Gradient Inversion Risk of Data Reuse in Federated Learning Systems [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/srds/HuangCR24,
  author       = {Jiyue Huang and
                  Lydia Y. Chen and
                  Stefanie Roos},
  title        = {On Quantifying the Gradient Inversion Risk of Data Reuse in Federated
                  Learning Systems},
  booktitle    = {43rd International Symposium on Reliable Distributed Systems, {SRDS}
                  2024, Charlotte, NC, USA, September 30 - Oct. 3, 2024},
  pages        = {235--247},
  publisher    = {{IEEE}},
  year         = {2024},
  url          = {https://doi.org/10.1109/SRDS64841.2024.00031},
  doi          = {10.1109/SRDS64841.2024.00031},
  timestamp    = {Fri, 03 Jan 2025 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/srds/HuangCR24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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