An adaptive DNN partitioning framework for heterogeneous edge-cloud systems reduces energy consumption by 27-36% and end-to-end latency by 6-23% versus static baselines on real hardware with VGG16, AlexNet, and MobileNetV2.
In: 2025 IEEE 11th World Forum on In- ternet of Things (WF-IoT)
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Adaptive DNN Partitioning and Offloading in Heterogeneous Edge-Cloud Continuum
An adaptive DNN partitioning framework for heterogeneous edge-cloud systems reduces energy consumption by 27-36% and end-to-end latency by 6-23% versus static baselines on real hardware with VGG16, AlexNet, and MobileNetV2.