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EcoFair: Energy-Efficient Inference Routing for Edge AI under Data Degradation

Anoosha, Mostafa et al.
arXiv (All) · Papers
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c-2-4i-2-11i-2-6machine-learning
Medical edge-AI systems must operate under a difficult tension: delivering reliable diagnostic inference while running on devices with limited battery capacity, memory, and compute. In dermatology, this problem is amplified by real-world image degradation caused by smartphone capture, poor lighting,
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