DistrEdge: Speeding up Convolutional Neural Network Inference on Distributed Edge Devices
DistrEdge: Speeding up Convolutional Neural Network Inference on Distributed Edge Devices
As the number of edge devices with computing resources (e.g., embedded GPUs, mobile phones, and laptops) in-creases, recent studies demonstrate that it can be beneficial to col-laboratively run convolutional neural network (CNN) inference on more than one edge device. However, these studies make strong assumptions on the devices' conditions, and …