LEQ: Energy-Efficient Early-Exit Inference for On-Device Security in Consumer Electronics — Artifacts

Real measurement data and reproduction scripts for the LEQ paper (IEEE Consumer Electronics Magazine). A trained early-exit T5 encoder (6 layers) performs 8-class on-device network-attack classification; an entropy threshold drives both per-layer early exit and edge-cloud routing, with a security gate against confidence-inflation. Includes GB10 GPU full-test-set sweep, Raspberry Pi 5 PMIC-metered per-input runs (tau sweep, per-sample tail latencies), and the fixed-depth ablation, plus all harness and analysis scripts.