multiple pieces and distribute them among available edge devices to perform inference
cooperatively. Up to now, the problem of partitioning a deep neural network (DNN), which
can result in the optimal distributed inferencing performance, has not been adequately
addressed. This paper proposes a novel layer-based DNN partitioning approach to obtain
an optimal distributed deployment solution. In order to ensure the applicability of the resulted …