Ahmed Fahad

FedStaP: Shared Feature Statistics and Prior-Calibrated Training for Non-IID Federated Intrusion Detection in IoT Networks

Federated learning allows IoT gateways to train a shared intrusion detector without exporting traffic records, but gateways observe different attack classes and scale their flow features differently. Stateful optimisers such as SCAFFOLD correct the resulting client drift at the c...