LeadFL: Client Self-Defense against Model Poisoning in Federated Learning. Zhu, C., Roos, S., & Chen, L. Y. In Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S., & Scarlett, J., editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, volume 202, of Proceedings of Machine Learning Research, pages 43158–43180, 2023. PMLR.
Paper bibtex @inproceedings{DBLP:conf/icml/ZhuRC23,
author = {Chaoyi Zhu and
Stefanie Roos and
Lydia Y. Chen},
editor = {Andreas Krause and
Emma Brunskill and
Kyunghyun Cho and
Barbara Engelhardt and
Sivan Sabato and
Jonathan Scarlett},
title = {LeadFL: Client Self-Defense against Model Poisoning in Federated Learning},
booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
2023, Honolulu, Hawaii, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {202},
pages = {43158--43180},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v202/zhu23j.html},
timestamp = {Mon, 28 Aug 2023 17:23:08 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhuRC23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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