FedEraser: Enabling Efficient Client-Level Data Removal from Federated Learning Models

Gaoyang Liu, Xiaoqiang Ma, Yang Yang, Chen Wang, Jiangchuan Liu. FedEraser: Enabling Efficient Client-Level Data Removal from Federated Learning Models. In 29th IEEE/ACM International Symposium on Quality of Service, IWQOS 2021, Tokyo, Japan, June 25-28, 2021. pages 1-10, IEEE, 2021. [doi]

@inproceedings{LiuMYWL21,
  title = {FedEraser: Enabling Efficient Client-Level Data Removal from Federated Learning Models},
  author = {Gaoyang Liu and Xiaoqiang Ma and Yang Yang and Chen Wang and Jiangchuan Liu},
  year = {2021},
  doi = {10.1109/IWQOS52092.2021.9521274},
  url = {https://doi.org/10.1109/IWQOS52092.2021.9521274},
  researchr = {https://researchr.org/publication/LiuMYWL21},
  cites = {0},
  citedby = {0},
  pages = {1-10},
  booktitle = {29th IEEE/ACM International Symposium on Quality of Service, IWQOS 2021, Tokyo, Japan, June 25-28, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-1494-4},
}