Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng. No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 5972-5984, 2021. [doi]
@inproceedings{LuoCHZLF21,
title = {No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data},
author = {Mi Luo and Fei Chen and Dapeng Hu and Yifan Zhang and Jian Liang and Jiashi Feng},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/2f2b265625d76a6704b08093c652fd79-Abstract.html},
researchr = {https://researchr.org/publication/LuoCHZLF21},
cites = {0},
citedby = {0},
pages = {5972-5984},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}