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Aliz-f / edge-web-attack-detection-federated

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Federated Learning with 1D-CNN for Web Attack Detection on Edge-IIoTset using the Flower Framework. This project explores both IID and Non-IID data partitions to evaluate federated performance in decentralized IoT environments.

iot machine-learning deep-neural-networks deep-learning machine-learning-algorithms distributed-computing deep-learning-algorithms iiot cnn-model intrusion-detection-system edge-computing federated-learning fedavg fedavgm fedopt flower-framework edge-iiotset flower-federated-learning dew-computing
  • Updated Dec 5, 2025
  • Python

Vishwas46 / iiot-pilot

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A docker compose up closed-loop industrial IoT demo: real CWRU bearing-fault data over MQTT, a scikit-learn fault classifier, and a policy engine that throttles the line autonomously, with InfluxDB + Grafana.

python mqtt influxdb time-series docker-compose scikit-learn grafana manufacturing iiot cwru anomaly-detection predictive-maintenance condition-monitoring mlops industrial-iot edge-ml industry-4-0 bearing-fault-detection
  • Updated Jul 28, 2026
  • Python

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