Author:
Chen Yikuan,Liang Li,Gao Wei
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference31 articles.
1. Cheng, S.: Research on data privacy protection technology of social network users based on differential disturbance. Ain Shams Eng. J. 13(5), 101745 (2022)
2. Galli, F., Biswas, S., Jung, K., et al.: Group privacy for personalized federated learning. arXiv:2206.03396 (2022)
3. Shaheen, M., Farooq, M.S., Umer, T., et al.: Applications of federated learning; Taxonomy, challenges, and research trends. Electronics 11(4), 670 (2022)
4. Qin, Z., Deng, S., Yan, X., et al.: Secure and efficient decentralized federated learning with data representation protection. arXiv:2205.10568 (2022)
5. Li, T., Sahu, A.K., Talwalkar, A., et al.: Federated learning: Challenges, methods, and future directions. IEEE Signal Process. Mag. 37(3), 50–60 (2020)
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献