Optimal Partitioning of Distributed Neural Networks for Various Communication Environments

Recently, it is increasingly necessary to run high-end neural network applications on top of resource-constrained embedded systems, such as wearable or Internet-of-Things devices. To cope with their high computation overheads on low-end systems, the distributed neural network approach in which multiple small neural networks separately and cooperatively operate on multiple devices has been proposed...