Apparatus, articles of manufacture, and methods to partition neural networks for execution at distributed edge nodes

Abstract

Methods, apparatus, systems, and articles of manufacture are disclosed to partition neural network models for executing at distributed Edge nodes. An example apparatus includes interface circuitry, machine-readable instructions, and at least one processor circuit to be programmed by the machine-readable instructions. One or more of the at least one processor circuit is to partition a neural network model into a first portion to be executed at an edge of a network and a second portion to be executed at a cloud based on a transmission metric.

Dependencies are inferred from the claim text.