公开(公告)号：US20230153576A1

公开(公告)日：2023-05-18

申请号：US17819047

申请日：2022-08-11

Applicant: Meta Platforms Technologies, LLC

Inventor： Ziyun LI ,  Xin DONG ,  Barbara DE SALVO ,  Xinqiao LIU

IPC: G06N3/04 ,  G06N3/08

CPC classification number: G06N3/0454 ,  G06N3/08

Abstract: Methods, systems, and media for partitioning neural networks are provided. In some embodiments, a method comprises obtaining a training set. The method comprises training a plurality of neural networks using the training set, wherein neural networks differ based on dimensions of one or more layers of the neural networks and a location of a compression block positioned between a first set of layers of a neural network and a second set of layers of the neural network. The method comprises selecting a neural network based on hardware constraints of a system on which the neural network is to be implemented, wherein the first set of layers of the selected neural network are executed by one or more sensor devices of the system, and wherein the second set of layers of the selected neural network are executed by an aggregator computing device of the system.