VCFL: A verifiable and collusion attack resistant privacy preserving framework for cross-silo federated learning

Weidong Du, Min Li, Xiaoyuan Yang 0002, Liqiang Wu, Tanping Zhou. VCFL: A verifiable and collusion attack resistant privacy preserving framework for cross-silo federated learning. Pervasive and Mobile Computing, 86:101697, 2022. [doi]

@article{DuL0WZ22,
  title = {VCFL: A verifiable and collusion attack resistant privacy preserving framework for cross-silo federated learning},
  author = {Weidong Du and Min Li and Xiaoyuan Yang 0002 and Liqiang Wu and Tanping Zhou},
  year = {2022},
  doi = {10.1016/j.pmcj.2022.101697},
  url = {https://doi.org/10.1016/j.pmcj.2022.101697},
  researchr = {https://researchr.org/publication/DuL0WZ22},
  cites = {0},
  citedby = {0},
  journal = {Pervasive and Mobile Computing},
  volume = {86},
  pages = {101697},
}