Zhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian 0001, Hao Peng, Tongliang Liu, Bo Han 0003. FedFed: Feature Distillation against Data Heterogeneity in Federated Learning. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]
@inproceedings{YangZZ0PL023,
title = {FedFed: Feature Distillation against Data Heterogeneity in Federated Learning},
author = {Zhiqin Yang and Yonggang Zhang and Yu Zheng and Xinmei Tian 0001 and Hao Peng and Tongliang Liu and Bo Han 0003},
year = {2023},
url = {http://papers.nips.cc/paper_files/paper/2023/hash/bdcdf38389d7fcefc73c4c3720217155-Abstract-Conference.html},
researchr = {https://researchr.org/publication/YangZZ0PL023},
cites = {0},
citedby = {0},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}