WEIGHT DATASET FOR FUSION RESULTS IN EDGE-CLOUD COLLABORATIVE INFERENCE
收藏IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/weight-dataset-fusion-results-edge-cloud-collaborative-inference
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资源简介：
Our released fusion weights dataset contains the corresponding weighted summation weights under 20,000 edge-cloud collaborative DNN inference tasks, listing the five heterogeneous NVIDIA edge devices they use (NVIDIA Jetson Nano, TX2, NX, Orin NX, and AGX Orin), computing power (1.9~275TOPS), DNN model type (EfficientNet-B0, ViT-B16), and network bandwidth (0.5~8Mbps). We use a workstation with an NVIDIA GTX 3080 GPU as the cloud server and leverage Linux trickle to adjust the network bandwidth between the edge device and the cloud server. The computing power of edge devices is derived from the hardware manual. Two DNN models are implemented based on PyTorch.
提供机构：
Zhang, Ziyang
