公开(公告)号：US20240303505A1

公开(公告)日：2024-09-12

申请号：US18595389

申请日：2024-03-04

Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

Inventor： Young-Bae Ko ,  June-Pyo Jung

IPC: G06N3/098

CPC classification number: G06N3/098

Abstract: Disclosed are a federated learning method and device using device clustering. The federated learning method includes obtaining an arbitrary client group including some clients as a result of performing clustering on a plurality of clients; determining one of the some clients as a leader client based on a centroid associated with the clustering, wherein the leader client receives data associated with at least one parameter of a pre-trained model from each of the some clients; determining at least one client among the some clients as a target client based on an amount of computing resources of the pre-trained model and a training loss of the pre-trained model; and receiving some data associated with at least one parameter of the model of the target client from the leader client, wherein the some data is included in the data.