N. Noman

Adaptive Differential Privacy for Federated Intrusion Detection in IoT Networks Using Meta-Learning Control

Federated Learning enables distributed intrusion detection in IoT networks but suffers from gradient leakage vulnerabilities that can expose sensitive client data through reconstruction attacks. This paper presents an adaptive privacy-preserving framework that dynamically adjusts Differential Privacy parameters using a...