An Optimized Scheme of Federated Learning Based on Differential Privacy

Author:

Li Yang,Xu Jin,Zhu Jianming,Wang Xiuli

Publisher

Springer Nature Singapore

Reference16 articles.

1. Artificial Intelligence Project Team of Webank. Federated Learning White Paper V2.0. https://aisp-1251170195.cos.ap-hongkong.myqcloud.com/wp-content/uploads/pdf. Accessed 13 Feb 2023

2. Mcmahan, H.B.F., Moore, E,.S., Ramage D, T.: Communication-efficient learning of deep networks from decentralized data. In: Artificial Intelligence and Statistics. PMLR, pp. 1273–1282 (2017)

3. Tu, X.F., Zhu K.S., Luong N.C.T.: Incentive mechanisms for federated learning: from economic and game theoretic perspective. CoRR abs, 2111.11850 (2021)

4. Chen, J.F., Sun, C.S., Zhou, X.T.: Local privacy protection for power data prediction model based on federated learning and homomorphic encryption. Inf. Secur. Res. 9(03), 228–234(2023)

5. Su, Y.F., Liu, W.S.: Secure protection method for federated learning model based on secure shuffling and differential privacy. Inf. Secur. Res. 8(03), 270–276 (2022)

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