Privacy-Preserving Machine Learning Using Federated Learning and Secure Aggregation-Reference-Cited by-同舟云学术

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Privacy-Preserving Machine Learning Using Federated Learning and Secure Aggregation

Published:2020-06 Issue: Volume: Page:
ISSN:
Container-title:2020 12th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)
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Author:

Lia Dragos,Togan Mihai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9218228/9223118/09223127.pdf?arnumber=9223127

Cited by 7 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. Construct a Secure CNN Against Gradient Inversion Attack;Lecture Notes in Computer Science;2024

2. Federated Learning for Privacy Preservation of Healthcare Data From Smartphone-Based Side-Channel Attacks;IEEE Journal of Biomedical and Health Informatics;2023-02

3. FedDroidADP: An Adaptive Privacy-Preserving Framework for Federated-Learning-Based Android Malware Classification System;Knowledge Science, Engineering and Management;2023

4. Information Theoretic Secure Aggregation With User Dropouts;IEEE Transactions on Information Theory;2022-11

5. PANDA: Lightweight non-interactive privacy-preserving data aggregation for constrained devices;Future Generation Computer Systems;2022-06

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