FedStatKD-IDS: A federated learning intrusion detection system with statistical normalization and knowledge distillation for IoT-based smart agriculture
The rapid expansion of the Internet of Things (IoT) in smart agriculture has enabled seamless connectivity among sensors, actuators, and farming devices, improving automation and efficiency in areas such as crop monitoring, irrigation, and livestock management. However, this growth also creates a la...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
IEEE
2026
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/47693/1/FedStatKD-IDS-A%20federated%20learning%20intrusion%20detection%20system.pdf https://umpir.ump.edu.my/id/eprint/47693/ https://doi.org/10.1109/AGRETA68375.2025.11474184 |
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