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.
LeadFL: Client Self-Defense against Model Poisoning in Federated Learning [link]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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