Distributing intelligence for object detection using edge computing

Object detection plays an important role in many artificial intelligence applications such as autonomous driving and video surveillance. However, running object detection models on small edge devices remains computationally expensive and time consuming. In this paper, we present a distributed cloud-edge version of the YOLOv3 model based on split learning. By keeping the data local and sharing only...