FedCMK: An Efficient Privacy-Preserving Federated Learning Framework

Pengyu Lu, Xianjia Meng, Ximeng Liu. FedCMK: An Efficient Privacy-Preserving Federated Learning Framework. In Jaideep Vaidya, Moncef Gabbouj, Jin Li, editors, Artificial Intelligence Security and Privacy - First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, Guangzhou, China, December 3-5, 2023, Proceedings, Part I. Volume 14509 of Lecture Notes in Computer Science, pages 253-271, Springer, 2023. [doi]

@inproceedings{LuML23-0,
  title = {FedCMK: An Efficient Privacy-Preserving Federated Learning Framework},
  author = {Pengyu Lu and Xianjia Meng and Ximeng Liu},
  year = {2023},
  doi = {10.1007/978-981-99-9785-5_18},
  url = {https://doi.org/10.1007/978-981-99-9785-5_18},
  researchr = {https://researchr.org/publication/LuML23-0},
  cites = {0},
  citedby = {0},
  pages = {253-271},
  booktitle = {Artificial Intelligence Security and Privacy - First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, Guangzhou, China, December 3-5, 2023, Proceedings, Part I},
  editor = {Jaideep Vaidya and Moncef Gabbouj and Jin Li},
  volume = {14509},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-99-9785-5},
}