FLEAD: Federated Learning for IoT Anomaly Detection
using Kafka, Flink, Spark
- Built a federated learning setup for anomaly detection across distributed IoT devices.
- Implemented real-time streaming pipelines and batch evaluation workflows.
- Analyzed model behavior under heterogeneous and non-IID data settings.
- Live:https://www.linkedin.com/feed/update/urn:li:activity:7413790519727652864/
- GitHub:https://github.com/suu00k1459/OST
- Stack:kafka, Flink, Spark, Grafana


