%0 Conference Paper %1 conf/icmcs/RanG0CY24 %A Ran, Changjuan %A Guo, Yeting %A Liu, Fang %A Cui, Shenglan %A Ye, Yunfan %B ICME %D 2024 %I IEEE %K dblp %P 1-6 %T FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art Commissions. %U http://dblp.uni-trier.de/db/conf/icmcs/icme2024.html#RanG0CY24 %@ 979-8-3503-9015-5

@inproceedings{conf/icmcs/RanG0CY24, added-at = {2024-10-07T00:00:00.000+0200}, author = {Ran, Changjuan and Guo, Yeting and Liu, Fang and Cui, Shenglan and Ye, Yunfan}, biburl = {https://www.bibsonomy.org/bibtex/24bda0ca6889e0d6ab5a1abc30da4cc6f/dblp}, booktitle = {ICME}, crossref = {conf/icmcs/2024}, ee = {https://doi.org/10.1109/ICME57554.2024.10688004}, interhash = {68280a8f3877a13bd5837242621030d2}, intrahash = {4bda0ca6889e0d6ab5a1abc30da4cc6f}, isbn = {979-8-3503-9015-5}, keywords = {dblp}, pages = {1-6}, publisher = {IEEE}, timestamp = {2024-10-14T07:10:01.000+0200}, title = {FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art Commissions.}, url = {http://dblp.uni-trier.de/db/conf/icmcs/icme2024.html#RanG0CY24}, year = 2024 }