CPP-ELM: Cryptographically Privacy-Preserving Extreme Learning Machine for Cloud Systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,General Computer Science
Cited by 27 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. Analysis of Extreme Learning Machines (ELMs) for intelligent intrusion detection systems: A survey;Expert Systems with Applications;2024-11
2. Privacy-Preserving Chaotic Extreme Learning Machine with Fully Homomorphic Encryption;Lecture Notes in Networks and Systems;2024
3. Non-Cryptographic Privacy Preserving Machine Learning Methods: A Review;Communications in Computer and Information Science;2023-12-23
4. A Fully Decentralized Homomorphic Federated Learning Framework;2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS);2023-09-25
5. Secure and Privacy in Healthcare Data Using Quaternion-based Neural Network Cryptography with the Blockchain Mechanism;IETE Journal of Research;2023-07-02
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