An Adaptive and Interpretable Federated Deep Learning Architecture for Privacy-Aware Network Threat Classification
The increasing distribution of enterprise computing across cloud platforms, edge devices, branch networks, and Internet-of-Things environments has made the collection and centralized analysis of network telemetry increasingly difficult. Conventional deep-learning intrusion detection approaches commonly require the move...