Koji Matsuda, Yuya Sasaki 0001, Chuan Xiao 0001, Makoto Onizuka. FedMe: Federated Learning via Model Exchange. In Arindam Banerjee 0001, Zhi-Hua Zhou, Evangelos E. Papalexakis, Matteo Riondato, editors, Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022, Alexandria, VA, USA, April 28-30, 2022. pages 459-467, SIAM, 2022. [doi]
@inproceedings{Matsuda00O22,
title = {FedMe: Federated Learning via Model Exchange},
author = {Koji Matsuda and Yuya Sasaki 0001 and Chuan Xiao 0001 and Makoto Onizuka},
year = {2022},
doi = {10.1137/1.9781611977172.52},
url = {https://doi.org/10.1137/1.9781611977172.52},
researchr = {https://researchr.org/publication/Matsuda00O22},
cites = {0},
citedby = {0},
pages = {459-467},
booktitle = {Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022, Alexandria, VA, USA, April 28-30, 2022},
editor = {Arindam Banerjee 0001 and Zhi-Hua Zhou and Evangelos E. Papalexakis and Matteo Riondato},
publisher = {SIAM},
isbn = {978-1-61197-717-2},
}