%0 Journal Article %1 journals/dcan/YinLSLHH24 %A Yin, Lihua %A Lin, Sixin %A Sun, Zhe %A Li, Ran %A He, Yuanyuan %A Hao, Zhiqiang %D 2024 %J Digit. Commun. Networks %K dblp %N 2 %P 389-403 %T A game-theoretic approach for federated learning: A trade-off among privacy, accuracy and energy. %U http://dblp.uni-trier.de/db/journals/dcan/dcan10.html#YinLSLHH24 %V 10

@article{journals/dcan/YinLSLHH24, added-at = {2024-07-19T00:00:00.000+0200}, author = {Yin, Lihua and Lin, Sixin and Sun, Zhe and Li, Ran and He, Yuanyuan and Hao, Zhiqiang}, biburl = {https://www.bibsonomy.org/bibtex/2a88baca4e73430487439afa129477ec8/dblp}, ee = {https://doi.org/10.1016/j.dcan.2022.12.024}, interhash = {c9626b7b225b003d198a42fcfc906cb2}, intrahash = {a88baca4e73430487439afa129477ec8}, journal = {Digit. Commun. Networks}, keywords = {dblp}, number = 2, pages = {389-403}, timestamp = {2024-07-22T07:07:30.000+0200}, title = {A game-theoretic approach for federated learning: A trade-off among privacy, accuracy and energy.}, url = {http://dblp.uni-trier.de/db/journals/dcan/dcan10.html#YinLSLHH24}, volume = 10, year = 2024 }