US 12,425,841 B2
Method of time synchronization service for federated learning in 5G network
Myung Ki Shin, Seoul (KR); Jihoon Sung, Daejeon (KR); and Soohwan Lee, Daejeon (KR)
Assigned to ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, Daejeon (KR)
Filed by ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, Daejeon (KR)
Filed on Jan. 18, 2023, as Appl. No. 18/098,375.
Claims priority of application No. 10-2022-0013490 (KR), filed on Jan. 28, 2022; and application No. 10-2022-0182590 (KR), filed on Dec. 23, 2022.
Prior Publication US 2023/0247417 A1, Aug. 3, 2023
Int. Cl. H04W 8/24 (2009.01); H04L 41/16 (2022.01)
CPC H04W 8/24 (2013.01) [H04L 41/16 (2013.01)] 7 Claims
OG exemplary drawing
 
1. A method of a time synchronization service for federated learning (FL) of user equipment (UE) in a fifth generation (5G) network, the method comprising:
receiving, by an artificial intelligence/machine learning function (AIMLF), a subscription request for UE capability information for an FL time synchronization service from an artificial intelligence/machine learning application function (AIML AF); and
transmitting, by the AIMLF, the UE capability information to the AIML AF, in response to the subscription request.