%0 Journal Article %1 journals/jzusc/ShenZJZLKWW23 %A Shen, Tao %A Zhang, Jie %A Jia, Xinkang %A Zhang, Fengda %A Lv, Zheqi %A Kuang, Kun %A Wu, Chao %A Wu, Fei %D 2023 %J Frontiers Inf. Technol. Electron. Eng. %K dblp %N 10 %P 1390-1402 %T Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives. %U http://dblp.uni-trier.de/db/journals/jzusc/jzusc24.html#ShenZJZLKWW23 %V 24

@article{journals/jzusc/ShenZJZLKWW23, added-at = {2024-05-07T00:00:00.000+0200}, author = {Shen, Tao and Zhang, Jie and Jia, Xinkang and Zhang, Fengda and Lv, Zheqi and Kuang, Kun and Wu, Chao and Wu, Fei}, biburl = {https://www.bibsonomy.org/bibtex/206731961637314eb7a280f0d7d4da847/dblp}, ee = {https://doi.org/10.1631/FITEE.2300098}, interhash = {41626215b9c4079dbedb751068d9e47b}, intrahash = {06731961637314eb7a280f0d7d4da847}, journal = {Frontiers Inf. Technol. Electron. Eng.}, keywords = {dblp}, month = {October}, number = 10, pages = {1390-1402}, timestamp = {2024-05-13T07:08:37.000+0200}, title = {Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives.}, url = {http://dblp.uni-trier.de/db/journals/jzusc/jzusc24.html#ShenZJZLKWW23}, volume = 24, year = 2023 }