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.
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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