FedIM: An Anti-attack Federated Learning Based on Agent Importance Aggregation

Zhipeng Gao, Chenhao Qiu, Chen Zhao, Yang Yang, Zijia Mo, Yijing Lin. FedIM: An Anti-attack Federated Learning Based on Agent Importance Aggregation. In 20th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2021, Shenyang, China, October 20-22, 2021. pages 1445-1451, IEEE, 2021. [doi]

@inproceedings{GaoQZYML21,
  title = {FedIM: An Anti-attack Federated Learning Based on Agent Importance Aggregation},
  author = {Zhipeng Gao and Chenhao Qiu and Chen Zhao and Yang Yang and Zijia Mo and Yijing Lin},
  year = {2021},
  doi = {10.1109/TrustCom53373.2021.00205},
  url = {https://doi.org/10.1109/TrustCom53373.2021.00205},
  researchr = {https://researchr.org/publication/GaoQZYML21},
  cites = {0},
  citedby = {0},
  pages = {1445-1451},
  booktitle = {20th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2021, Shenyang, China, October 20-22, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-1658-0},
}