Handling Non-IID Data Distribution in Federated Learning for  Decentralized IoV Intrusion Detection

Raavi Deepthi

Handling Non-IID Data Distribution in Federated Learning for Decentralized IoV Intrusion Detection

Authors

Raavi Deepthi

Keywords:

Non-IID Data, Federated Learning, Autoencoder, Distributed IDS, IoV Security

Abstract

Federated Learning implementations inInternet of Vehicles face significant challenges due to non-independent and identically

References

Alladi, T.; Kohli, V.; Chamola, V.; Yu, F.R. Securing the internet of vehicles: A deep learning-based classification framework. IEEE Netw. Lett. 2021, 3, 94 97. [Google Scholar] [CrossRef]

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Published

2025-05-20

How to Cite

Raavi Deepthi. (2025). Handling Non-IID Data Distribution in Federated Learning for Decentralized IoV Intrusion Detection. Journal of Computational Analysis and Applications (JoCAAA), 34(5), 351–356. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4322