公开(公告)号：US20230031470A1

公开(公告)日：2023-02-02

申请号：US17863576

申请日：2022-07-13

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sukhdeep SINGH ,  Joseph THALIATH ,  Vivek SAPRU ,  Sandeep Kumar JAISAWAL ,  Naman AGARWAL ,  Seungil YOON ,  Hoejoo LEE

IPC: H04L41/16 ,  G06N20/00 ,  H04L41/5006 ,  H04W48/18 ,  G06K9/62

Abstract: The embodiments herein disclose a method for managing machine learning (ML) services in a wireless communication network. The method includes: storing a plurality of ML packages, each executing a network service request; receiving a trigger based on the network service request from a server; determining a plurality of parameters corresponding to the network service request, on receiving the trigger from the server; determining an ML package based on the trigger and the plurality of parameters corresponding to the network service request; and deploying the determined at least one ML package for executing the network service request.

公开(公告)号：US20240046151A1

公开(公告)日：2024-02-08

申请号：US18305712

申请日：2023-04-24

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sukhdeep SINGH ,  Vivek SAPRU ,  Joseph THALIATH ,  Ganesh Kumar THANGAVEL ,  Ashish JAIN ,  Seungil YOON ,  Hoejoo LEE ,  Hunje YEON

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: A system and/or method for automated ML model retraining by an electronic device. The system and/or method may include one or more of: running a first ML model and a second ML model, predicting an accuracy degradation of the first ML model using the second ML model, determining whether the predicted accuracy degradation meets a pre-defined threshold, and/or retraining the first ML model when the predicted accuracy degradation meets the pre-defined threshold.