公开(公告)号：US20230136378A1

公开(公告)日：2023-05-04

申请号：US17974545

申请日：2022-10-27

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Gi Hun LEE ,  Min Chan JEONG ,  Se Young YUN ,  Sang Min BAE ,  Jae Yeon AHN ,  Seong Yoon KIM ,  Woo Jin CHUNG

IPC: G06N20/00 ,  H04L67/00

Abstract: Proposed is a federated learning system. The federated learning system comprises: a central server configured to transmit at least one global parameter of a global model to each client device, receive at least one local parameter of a local model trained from each of client devices, and update the global model using the at least one local parameter; and a plurality of client devices configured to train the local model by applying a loss between a predicted value of the global model and a predicted value of the local model possessed by itself to a loss function, and transmit at least one local parameter of the trained local model to the central server.