公开(公告)号：US20200311546A1

公开(公告)日：2020-10-01

申请号：US16830253

申请日：2020-03-25

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Chang Sik LEE ,  Sung Back HONG ,  Seungwoo HONG ,  Ho Yong RYU

IPC: G06N3/08 ,  H04L29/08 ,  G06N3/04

Abstract: A processor partitions a deep neural network having a plurality of exit points and at least one partition point in a branch corresponding to each of the exit points, for distributed processing in an edge device and a cloud. The processor sets environmental variables and training variables for training, selects an action to move at least one of an exit point and a partition point from a combination of the exit point and the partition point corresponding to a current state, performs the training by accumulating experience data using a reward according to the selected action and then moves to a next state, and outputs a combination of an optimal exit point and a partition point as a result of the training.

公开(公告)号：US20250029004A1

公开(公告)日：2025-01-23

申请号：US18651555

申请日：2024-04-30

Applicant: Electronics and Telecommunications Research Institute

Inventor： Chang Sik LEE ,  Tae Yeon KIM ,  Taeheum NA ,  Seungjae SHIN

IPC: G06N20/00

Abstract: Proposed is a technology that supports updating a machine learning model in a terminal or base station of a mobile communication system. The method where a core network supports a machine learning (ML) model update may include receiving by a first network function in the core network a model update request from a user equipment (UE) or a radio access network (RAN), obtaining by the first network function information for the model update on the basis of the received model update request and a communication with a second network function, and transferring by the first network function to the UE or the RAN a model update response including the information for the model update.

公开(公告)号：US20240185101A1

公开(公告)日：2024-06-06

申请号：US18224762

申请日：2023-07-21

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Chang Sik LEE ,  HYEBIN PARK ,  Seungjae SHIN ,  Hong Seok JEON

IPC: G06N5/04

CPC classification number: G06N5/04

Abstract: An apparatus and method for split processing of a model are provided. The apparatus for the split processing of the model includes a memory including instructions and a processor electrically connected to the memory and configured to execute the instructions. When the instructions are executed by the processor, the processor may be configured to perform a plurality of operations. The plurality of operations may include obtaining information on a plurality of computing nodes that uses at least one layer among a plurality of layers of a model for an artificial intelligence (AI)-based service, obtaining a requirement for the AI-based service, and controlling split processing of the model based on the information and the requirement.