Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness
Author:
Affiliation:
1. Mepco Schlenk Engineering College,Sivakasi,Tamil Nadu,India
2. Fordham University,USA
3. University of South Florida,USA
4. Hung Yen University of Technology and Education,Hung Yen,Vietnam
5. Royal Military College of Canada (RMC),Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/8548628/10644009/10643986.pdf?arnumber=10643986
Reference15 articles.
1. Ransomware Detection Using Federated Learning with Imbalanced Datasets
2. Federated Learning for Industrial Internet of Things in Future Industries
3. Federated Learning for Internet of Things: A Comprehensive Survey
4. Towards Accurate Anomaly Detection in Industrial Internet-of-Things using Hierarchical Federated Learning
5. A Redactable Blockchain Framework for Secure Federated Learning in Industrial Internet of Things
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