%0 Conference Paper %1 conf/globecom/ZhouSN0PX22 %A Zhou, Jinhao %A Su, Zhou %A Ni, Jianbing %A Wang, Yuntao %A Pan, Yanghe %A Xing, Rui %B GLOBECOM %D 2022 %I IEEE %K dblp %P 4872-4877 %T Personalized Privacy-Preserving Federated Learning: Optimized Trade-off Between Utility and Privacy. %U http://dblp.uni-trier.de/db/conf/globecom/globecom2022.html#ZhouSN0PX22 %@ 978-1-6654-3540-6

@inproceedings{conf/globecom/ZhouSN0PX22, added-at = {2024-06-18T00:00:00.000+0200}, author = {Zhou, Jinhao and Su, Zhou and Ni, Jianbing and Wang, Yuntao and Pan, Yanghe and Xing, Rui}, biburl = {https://www.bibsonomy.org/bibtex/25161848a8ce690791d8ce96d146f1f6d/dblp}, booktitle = {GLOBECOM}, crossref = {conf/globecom/2022}, ee = {https://doi.org/10.1109/GLOBECOM48099.2022.10000793}, interhash = {faa4abd9bf5c272db3dd30adf2dd5f59}, intrahash = {5161848a8ce690791d8ce96d146f1f6d}, isbn = {978-1-6654-3540-6}, keywords = {dblp}, pages = {4872-4877}, publisher = {IEEE}, timestamp = {2024-06-24T07:42:13.000+0200}, title = {Personalized Privacy-Preserving Federated Learning: Optimized Trade-off Between Utility and Privacy.}, url = {http://dblp.uni-trier.de/db/conf/globecom/globecom2022.html#ZhouSN0PX22}, year = 2022 }