2023
DOI: 10.4018/ijssci.334711
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A Novel Deep Federated Learning-Based Model to Enhance Privacy in Critical Infrastructure Systems

Akash Sharma,
Sunil K. Singh,
Anureet Chhabra
et al.

Abstract: Deep learning (DL) can provide critical infrastructure operators with valuable insights and predictive capabilities to help them make more informed decisions, improving system's robustness. However, training DL models requires large amounts of data, which can be costly to store in a centralized manner. Storing large amounts of sensitive critical infrastructure data in the cloud can pose significant security risks. Federated learning (FL) allows several clients to share learning data and train ML models. Unlike… Show more

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Cited by 11 publications
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