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RAPID-DNN: Reliability-Aware Partitioning for Robust DNN Inference Deployment on Edge AI
Deep neural networks (DNNs) deployed on heterogeneous edge accelerators are increasingly exposed to runtime hardware faults. Tight power and resource budgets push these platforms toward aggressive voltage scaling and limit the use of hardware fault mitigation, while process variation, thermal stress
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