FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective

Jingwei Sun, Ang Li 0005, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li 0001. FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective. 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 12613-12624, 2021. [doi]

@inproceedings{SunLDHCL21,
  title = {FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective},
  author = {Jingwei Sun and Ang Li 0005 and Louis DiValentin and Amin Hassanzadeh and Yiran Chen and Hai Li 0001},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/692baebec3bb4b53d7ebc3b9fabac31b-Abstract.html},
  researchr = {https://researchr.org/publication/SunLDHCL21},
  cites = {0},
  citedby = {0},
  pages = {12613-12624},
  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},
}