Privacy Preserving Back-Propagation Neural Network Learning Made Practical with Cloud Computing

Author:

Jiawei Yuan ,Shucheng Yu

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Cited by 170 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

1. Privacy-preserving federated learning for proactive maintenance of IoT-empowered multi-location smart city facilities;Journal of Network and Computer Applications;2024-11

2. SeSMR: Secure and Efficient Session-based Multimedia Recommendation in Edge Computing;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-08-28

3. Blockchain-powered Federated Learning: A Review on Current Practices;2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN);2024-05-03

4. Personalized differential privacy approach in the federated learning scenario;Second International Conference on Informatics, Networking, and Computing (ICINC 2023);2024-04-04

5. A comprehensive survey and taxonomy on privacy-preserving deep learning;Neurocomputing;2024-04

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