Method of time synchronization service for federated learning in 5G network

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.

2. The method of claim 1 , wherein the capability information comprises availability of the UE and a capability of the UE for the FL.

3. The method of claim 1 , wherein the receiving comprises:

receiving, by a network exposure function (NEF), the subscription request from the AIML AF; and

receiving, by the AIMLF, the subscription request from the NEF.

4. The method of claim 1 , wherein the transmitting comprises:

transmitting, by the AIMLF, the UE capability information to a network exposure function (NEF); and

transmitting, by the NEF, the UE capability information to the AIML AF.

5. The method of claim 1 , wherein the subscription request comprises a data network name (DNN) and single-network slice selection assistance information (S-NSSAI).

6. The method of claim 5 , wherein the subscription request further comprises a list of identifications (IDs) of pieces of the UE.

7. The method of claim 6 , wherein the list is intended to limit subscription to the UE capability information of one or more pieces of UE among pieces of the UE.