FedTA: Locally-Differential Federated Learning with Top-k Mechanism and Adam Optimization

Yuting Li, Guojun Wang, Tao Peng 0011, Guanghui Feng. FedTA: Locally-Differential Federated Learning with Top-k Mechanism and Adam Optimization. In Guojun Wang 0001, Kim-Kwang Raymond Choo, Jie Wu 0001, Ernesto Damiani, editors, Ubiquitous Security - Second International Conference, UbiSec 2022, Zhangjiajie, China, December 28-31, 2022, Revised Selected Papers. Volume 1768 of Communications in Computer and Information Science, pages 380-391, Springer, 2022. [doi]

@inproceedings{LiWPF22,
  title = {FedTA: Locally-Differential Federated Learning with Top-k Mechanism and Adam Optimization},
  author = {Yuting Li and Guojun Wang and Tao Peng 0011 and Guanghui Feng},
  year = {2022},
  doi = {10.1007/978-981-99-0272-9_26},
  url = {https://doi.org/10.1007/978-981-99-0272-9_26},
  researchr = {https://researchr.org/publication/LiWPF22},
  cites = {0},
  citedby = {0},
  pages = {380-391},
  booktitle = {Ubiquitous Security - Second International Conference, UbiSec 2022, Zhangjiajie, China, December 28-31, 2022, Revised Selected Papers},
  editor = {Guojun Wang 0001 and Kim-Kwang Raymond Choo and Jie Wu 0001 and Ernesto Damiani},
  volume = {1768},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-981-99-0272-9},
}