Federated Learning for Scalable Anomaly Detection and Pattern Discovery in IoT-Enabled Aquaponics Systems
This study introduces a federated learning-based architecture designed to support highly scalable and decentralized anomaly detection in IoT-integrated aquaponics systems. Emphasizing rigorous data privacy, the framework employs PrefixSpan for sequential pattern mining to extract significant tempora...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of science and culture
2025-07-01
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| Series: | International Journal of Web Research |
| Subjects: | |
| Online Access: | https://ijwr.usc.ac.ir/article_226409_f9d8acd96191f493a157b3841d3dc801.pdf |
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