Securing Federated Learning: A Security Analysis on Applications, Attacks, Challenges, and Trends

Securing Federated Learning: A Security Analysis on Applications, Attacks, Challenges, and Trends

The growth of data generation capabilities, facilitated by advancements in communication and computation technologies, as well as the rise of the Internet of Things (IoT), results in vast amounts of data that significantly enhance the performance of machine learning models. However, collecting all n...

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Bibliographic Details
Main Authors: Cunha Neto, H.N (Author), Dusparic, I. (Author), Fernandes, N.C (Author), Hribar, J. (Author), Mattos, D.M.F (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:
Cloud computing
Collaboration
collaborative learning
Computational modeling
Data models
Edge computing
Federated learning
Federated Learning
information security
Information security
Machine learning
Machine Learning
multiaccess edge computing
Security
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