Optimizing Lightweight Malware Detection Models for Resource-Constrained AIoT Devices

This research aims to optimize a robust meta-learning ensemble model for malware detection on resource-constrained AIoT devices by reducing model size and inference duration while maintaining high accuracy and low false positive rates.