We propose an adaptive privacy-preserving federated learning (Adp-PPFL) framework, which safeguards the FL from gradient leakage attacks.
If you refer to this code, please cite our paper.
@article{hu2023shield,
title={Shield Against Gradient Leakage Attacks: Adaptive Privacy-Preserving Federated Learning},
author={Hu, Jiahui and Wang, Zhibo and Shen, Yongsheng and Lin, Bohan and Sun, Peng and Pang, Xiaoyi and Liu, Jian and Ren, Kui},
journal={IEEE/ACM Transactions on Networking},
year={2023},
publisher={IEEE}
}
