Scenario-Based Federated Learning for Privacy-Aware IoT Botnet Intrusion Detection
Federated learning (FL) is a promising approach for IoT intrusion detection because it enables distributed clients to collaboratively train models without pooling raw network-flow records. However, IoT traffic is often heterogeneous across monitoring sites, devices, and attack scenarios, which can degrade federated mod...