Wenjie Xiao, Xuehai Tang, Biyu Zhou, Wang Wang, Yangchen Dong, Liangjun Zang, Jizhong Han, Songlin Hu. Fed-Tra: Improving Accuracy of Deep Learning Model on Non-iid in Federated Learning. In Yongxuan Lai, Tian Wang 0001, Min Jiang 0005, Guangquan Xu, Wei Liang 0005, Aniello Castiglione, editors, Algorithms and Architectures for Parallel Processing - 21st International Conference, ICA3PP 2021, Virtual Event, December 3-5, 2021, Proceedings, Part I. Volume 13155 of Lecture Notes in Computer Science, pages 790-803, Springer, 2021. [doi]
@inproceedings{XiaoTZWDZHH21,
title = {Fed-Tra: Improving Accuracy of Deep Learning Model on Non-iid in Federated Learning},
author = {Wenjie Xiao and Xuehai Tang and Biyu Zhou and Wang Wang and Yangchen Dong and Liangjun Zang and Jizhong Han and Songlin Hu},
year = {2021},
doi = {10.1007/978-3-030-95384-3_49},
url = {https://doi.org/10.1007/978-3-030-95384-3_49},
researchr = {https://researchr.org/publication/XiaoTZWDZHH21},
cites = {0},
citedby = {0},
pages = {790-803},
booktitle = {Algorithms and Architectures for Parallel Processing - 21st International Conference, ICA3PP 2021, Virtual Event, December 3-5, 2021, Proceedings, Part I},
editor = {Yongxuan Lai and Tian Wang 0001 and Min Jiang 0005 and Guangquan Xu and Wei Liang 0005 and Aniello Castiglione},
volume = {13155},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-95384-3},
}