AINeutralarXiv – CS AI · 10h ago6/10
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Adaptive DNN Partitioning and Offloading in Heterogeneous Edge-Cloud Continuum
Researchers propose an adaptive framework for dynamically partitioning deep neural networks across edge-cloud infrastructure, addressing limitations of static approaches. Testing on real hardware demonstrates 27-35% energy reductions and 6-23% latency improvements compared to static baselines, validating the effectiveness of runtime-adaptive strategies for heterogeneous computing environments.