METHOD FOR PERFORMING FEDERATED LEARNING IN WIRELESS COMMUNICATION SYSTEM, AND APPARATUS THEREFOR

    公开(公告)号:US20250008449A1

    公开(公告)日:2025-01-02

    申请号:US18294877

    申请日:2021-08-03

    Abstract: Proposed are a method for performing federated learning in a wireless communication system, and an apparatus therefor. The method performed by a terminal may comprise the steps of: generating a Q-ary code including i) a restriction-based system part and ii) a parity part by coding restriction-based Q-ary information; determining, on the basis of a preset method, the number T of transmissions of the parity part of the Q-ary code; on the basis of specific channel information from among channel information between a plurality of terminals and a base station participating in the federated learning, allocating power to the system part and T parity parts; and transmitting, on the basis of the allocated power, the system part and the T parity parts to the base station.

    METHOD FOR PERFORMING FEDERATED LEARNING IN WIRELESS COMMUNICATION SYSTEM, AND APPARATUS THEREFOR

    公开(公告)号:US20240394602A1

    公开(公告)日:2024-11-28

    申请号:US18687698

    申请日:2021-09-01

    Abstract: The present specification provides a method by which a plurality of terminals perform federated learning in a wireless communication system. More particularly, the method performed by one terminal comprises the steps of: receiving, from a base station, a first downlink signal for requesting information regarding learning data for the federated learning, which is used by the one terminal; transmitting, to the base station, the information regarding the learning data on the basis of a type of learning data, the information regarding the learning data being information related to the distribution of the learning data used by the one terminal; receiving, from the base station, a second downlink signal including parameter information regarding a parameter related to a configuration for performing the federated learning, which has been determined on the basis of the learning data; and performing the federated learning on the basis of the information regarding the parameter.

    METHOD AND DEVICE FOR ADJUSTING SPLIT POINT IN WIRELESS COMMUNICATION SYSTEM

    公开(公告)号:US20240086743A1

    公开(公告)日:2024-03-14

    申请号:US18269437

    申请日:2021-12-01

    CPC classification number: G06N5/04 H04W24/02

    Abstract: Disclosed herein is a method of operating a terminal in a wireless communication system. As an example of the present disclosure, the method may include: receiving information on at least one of a first split point and a second split point from a base station; performing first split inference based on the first split point and generating first intermediate data; transmitting the first intermediate data to the base station; receiving second intermediate data generated based on the second split point from the base station; performing remaining split inference from the second split point based on the second intermediate data; and adjusting the second split point based on the second intermediate data.

    INTELLIGENT SIGNAL TRANSMISSION OR RECEPTION METHOD AND DEVICE THEREFOR

    公开(公告)号:US20240063840A1

    公开(公告)日:2024-02-22

    申请号:US18270460

    申请日:2020-12-29

    CPC classification number: H04B1/401 H04B1/1638 H04B17/336

    Abstract: An intelligent computing device according to an embodiment of the present specification may receive a request for terminal information related to a terminal from a base station, transmit the terminal information to the base station, receive a resource for data transmission or reception, which is allocated by the base station, and transmit or receive data to or from the base station by using the allocated resource, wherein the data is transmitted or received by using a receiver selected from among a normal receiver of the terminal and an artificial intelligence receiver of the terminal on the basis of wireless communication environment information of the terminal, so that the conventional normal receiver and the artificial intelligence receiver provided at the terminal can be efficiently used in a wireless communication environment. One or more of a base station, a terminal, an intelligent computing device, and a server of the present specification may be associated with an artificial intelligence module, a drone (unmanned aerial vehicle; UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to a 5G service, etc.

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