Federated Learning Approaches for Anomaly Detection in IoT Environments: A Systematic Literature Review
The rapid proliferation of Internet of Things (IoT) devices is driving significant data generation—and, consequently, a crucial demand for reliable, privacy-centric anomaly detection (AD). Federated Learning (FL) enables collaborative model training without centralizing sensitive data, addressing fundamental constraint...