Method and apparatus for supporting federated learning in wireless communication system

An apparatus of an application federated learning support function (AFLSF) for supporting federated learning (FL) in a wireless communication system, the apparatus comprising:

• a transceiver;
• and
• a controller coupled to the transceiver, wherein the controller is configured to:
• receive, from an application function (AF), a message for requesting assistance for an FL operation;
• obtain, from a network data analytics function (NWDAF), analytics to get assistance on determination of an FL configuration recommendation;
• obtain information related to at least one user equipment (UE) from a session management function (SMF) and an access and mobility management function (AMF);
• derive a FL configuration recommendation based on the analytics and the obtained information related to the at least one UE;
• transmit, to the AF, a response message including at least one parameter related to the FL configuration recommendation;
• and
• provide an updated recommendation to the AF to select a UE for the FL operation, based on a validation request message for an artificial intelligence/machine learning (AI/ML) session identifier (AMSID) from the SMF.

A non-transitory computer readable storage medium storing instructions, which, executed by a controller of an apparatus of an application federated learning support function (AFLSF), causes the apparatus to perform operations, the operations comprising:

• receiving, from an application function (AF), a message for requesting assistance for an FL operation;
• obtaining, from a network data analytics function (NWDAF), analytics to get assistance on determination of an FL configuration recommendation;
• obtaining information related to at least one user equipment (UE) from a session management function (SMF) and an access and mobility management function (AMF);
• deriving a FL configuration recommendation based on the analytics and the obtained information related to the at least one UE;
• transmitting, to the AF, a response message including at least one parameter related to the FL configuration recommendation;
• and
• providing an updated recommendation to the AF to select a UE for the FL operation, based on a validation request message for an artificial intelligence/machine learning (AI/ML) session identifier (AMSID) from the SMF.