%0 Conference Paper %1 conf/bdta/TahirTB23 %A Tahir, Ahsen %A Tan, Zhiyuan %A Babaagba, Kehinde O. %B BDTA %D 2023 %E Tan, Zhiyuan %E Wu, Yulei %E Xu, Min %I Springer %K dblp %P 18-32 %T Can Federated Models Be Rectified Through Learning Negative Gradients? %U http://dblp.uni-trier.de/db/conf/bdta/bdta2023.html#TahirTB23 %V 555 %@ 978-3-031-52265-9

@inproceedings{conf/bdta/TahirTB23, added-at = {2024-02-14T00:00:00.000+0100}, author = {Tahir, Ahsen and Tan, Zhiyuan and Babaagba, Kehinde O.}, biburl = {https://www.bibsonomy.org/bibtex/2908da4c46b3675240a0c7413401cb171/dblp}, booktitle = {BDTA}, crossref = {conf/bdta/2023}, editor = {Tan, Zhiyuan and Wu, Yulei and Xu, Min}, ee = {https://doi.org/10.1007/978-3-031-52265-9_2}, interhash = {50a447319df449036250656774623cd8}, intrahash = {908da4c46b3675240a0c7413401cb171}, isbn = {978-3-031-52265-9}, keywords = {dblp}, pages = {18-32}, publisher = {Springer}, series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering}, timestamp = {2024-04-09T16:19:54.000+0200}, title = {Can Federated Models Be Rectified Through Learning Negative Gradients?}, url = {http://dblp.uni-trier.de/db/conf/bdta/bdta2023.html#TahirTB23}, volume = 555, year = 2023 }