公开(公告)号：US20240169212A1

公开(公告)日：2024-05-23

申请号：US18511455

申请日：2023-11-16

Applicant: Samsung Electronics Co., Ltd.

Inventor： Andrea TASSI ,  Joan Pujol ROIG ,  Yue WANG

IPC: G06N3/098 ,  H04W8/22

CPC classification number: G06N3/098 ,  H04W8/22

Abstract: A method and system for more efficient federated learning (FL) of a machine learning (ML) model using user equipment (UEs) in cellular networks are disclosed. In particular, a system is provided for reducing the impact of poor channel conditions in a cellular network on the FL process. The cellular network may be a 5G, 6G or next generation cellular network. Advantageously, this disclosure creates redundancies in the transmission of FL trained model parameters to reduce the likelihood of an FL training process being stalled by a failure in transmission of data between UEs and a central parameter server which updates an ML model using data received from UEs.