公开(公告)号：US20230133793A1

公开(公告)日：2023-05-04

申请号：US17975664

申请日：2022-10-28

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Jae Hoon OH ,  Sang Mook KIM ,  Se Young YUN ,  Sang Min BAE ,  Jae Woo SHIN ,  Seong Yoon KIM ,  Woo Jin CHUNG

IPC: G06N20/00

Abstract: Proposed is a federated learning system. The federated learning system may comprise: a central server configured to transmit a first parameter of an extractor in a federated learning model including the extractor and a classifier to each of a plurality of client devices, and receive a plurality of first parameters learned from the plurality of client devices to update the federated learning model; and the plurality of client devices configured to train each of the plurality of the first parameters of the federated learning model using a training data set stored in each of the plurality of client devices while maintaining a value of a second parameter value of the classifier in the federated learning model, and to transmit each of the plurality of the trained first parameters to the central server.