公开(公告)号：US20230379949A1

公开(公告)日：2023-11-23

申请号：US18034324

申请日：2021-10-29

Applicant: LG ELECTRONICS INC.

Inventor： Yeong Jun KIM ,  Sangrim LEE ,  Hojae LEE ,  Ki Jun JEON ,  Sungjin KIM ,  Tae Hyun LEE

IPC: H04W72/50 ,  H04L5/00 ,  H04W24/02

CPC classification number: H04W72/50 ,  H04L5/0048 ,  H04W24/02

Abstract: The present disclosure a method of operating a user equipment (UE) in a wireless communication system, the method comprising: transmitting a reference signal to a base station by the UE; receiving a response message from the base station based on the reference signal by the UE; and transmitting a local parameter of a local model to the base station by the UE, wherein the response message comprises transmission mode information, resource allocation information and feedback information of the reference signal, and wherein the transmission mode information indicates a first transmission mode or a second transmission mode, the local parameter of the local parameter is transmitted based on the indicated first transmission mode or second transmission mode, and the local parameter of the local model is related to federated learning.

公开(公告)号：US20240054351A1

公开(公告)日：2024-02-15

申请号：US18266569

申请日：2021-12-06

Applicant: LG ELECTRONICS INC.

Inventor： Tae Hyun LEE ,  Kyung Ho LEE ,  Sangrim LEE ,  Yeong Jun KIM ,  Ki Jun JEON ,  Sungjin KIM

IPC: G06N3/098 ,  H04W72/04

CPC classification number: G06N3/098 ,  H04W72/04

Abstract: Disclosed herein is a method of operating a terminal according to an embodiment, including: receiving, by the terminal, federated learning-related configuration information; learning, by the terminal, a local model based on the federated learning-related configuration information; receiving, by the terminal, a local model weight request message; transmitting a first response message based on the received weight request message; receiving information associated with a total local model based on the first response message; transmitting a second response message based on the received information associated with the total local model; receiving resource allocation-related information based on the second response message; and performing federated learning based on the received resource allocation-related information.