Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing
Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing
This paper studies inference acceleration using distributed convolutional neural networks (CNNs) in collaborative edge computing network. To avoid inference accuracy loss in inference task partitioning, we propose receptive field-based segmentation (RFS). To reduce the computation time and communication overhead, we propose a novel collaborative edge computing using fused-layer parallelization to …