Adaptive Model Compression (AMC): Saliency-Driven Resource Allocation for Ultra-Low-Power Transformer Inference

The proposed Adaptive Model Compression framework dynamically allocates hardware resources during transformer inference based on token importance to reduce energy and memory usage on edge devices.

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