Author:
Zhang Kaiyue,Song Xuan,Zhang Chenhan,Yu Shui
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science,Theoretical Computer Science
Reference67 articles.
1. Shen S, Zhu T, Wu D, Wang W, Zhou W. From distributed machine learning to federated learning: in the view of data privacy and security. Concurrency and Computation: Practice and Experience, 2020, DOI: https://doi.org/10.1002/cpe.6002
2. Abadi M, Chu A, Goodfellow I, McMahan H B, Mironov I, Talwar K, Zhang L. Deep learning with differential privacy. In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security. 2016, 308–318
3. Li P, Li J, Huang Z, Li T, Gao C Z, Yiu S M, Chen K. Multi-key privacy-preserving deep learning in cloud computing. Future Generation Computer Systems, 2017, 74: 76–85
4. McMahan B, Moore E, Ramage D, Hampson S, Arcas y B A. Communication-efficient learning of deep networks from decentralized data. In: Proceedings of Artificial Intelligence and Statistics. 2017, 1273–1282
5. Yang T, Andrew G, Eichner H, Sun H, Li W, Kong N, Ramage D, Beaufays F. Applied federated learning: Improving google keyboard query suggestions. 2018, arXiv preprint arXiv: 1812.02903
Cited by
67 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