公开(公告)号：US20240037391A1

公开(公告)日：2024-02-01

申请号：US18258523

申请日：2021-12-15

Applicant: Orange

Inventor： Lan Wang ,  Lei Yu ,  Li Jiang

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: A method for distributed training of a graph-embedding neural network is disclosed. The method, performed at a first server, includes computing, based on a first input data sample, first model data and first embedding data of a first graph neural network, the first graph neural network corresponding to a first set of nodes of a graph that are visible to the first server, and includes sharing the first model data and the first embedding data with a second server. The method also includes receiving second embedding data from a third server, the second embedding data comprising embedding data of a second graph neural network corresponding to a second set of nodes of the graph that are invisible to the first server, and includes computing second model data of the first graph neural network based on a second input data sample and the embedding data of the second graph neural network.