Securing Federated Learning against FGSM Attacks with Adaptive Trust Scores and Blockchain Updates-Reference-Cited by-同舟云学术

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Securing Federated Learning against FGSM Attacks with Adaptive Trust Scores and Blockchain Updates

Published:2023-10-24 Issue: Volume: Page:
ISSN:
Container-title:2023 Fifth International Conference on Blockchain Computing and Applications (BCCA)
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Author:

Abasi Ammar Kamal¹,Hijazi Neveen Mohammad¹,Aloqaily Moayad¹,Guizani Mohsen¹

Affiliation:

1. Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI),UAE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10338825/10338826/10338861.pdf?arnumber=10338861

Reference21 articles.

1. Optimization of CNN using modified Honey Badger Algorithm for Sleep Apnea detection

2. Grey Wolf Optimizer for Reducing Communication Cost of Federated Learning

3. Harris Hawks Feature Selection in Distributed Machine Learning for Secure IoT Environments

4. Optimization of CNN-based Federated Learning for Cyber-Physical Detection

5. Explaining and harnessing adversarial examples;Goodfellow;arXiv preprint,2014

Cited by 2 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. Metaheuristic Algorithms for 6G wireless communications: Recent advances and applications;Ad Hoc Networks;2024-05

2. Enhancing Blockchain Security Against Data Tampering: Leveraging Hybrid Model in Multimedia Forensics and Multi-Party Computation for Supply Chain Data Protection;IEEE Access;2024

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