Indicating participation in learning model training

Abstract

Various aspects of the present disclosure relate to methods for artificial intelligence and machine learning model training. An apparatus, such as a UE, computes a readiness score for participation, by the UE, in tasks associated with learning model training, where the readiness score corresponds to one or more parameters associated with performance of the UE. The UE transmits, to a network equipment (NE), an indication of the readiness score. The tasks can include data collection, performing measurements, logging measured data, and reporting data, among other examples. The one or more parameters may include UE battery conditions, a hardware configuration, one or more buffer statuses, and statuses of existing tasks at the UE, among other examples. In response to the indication of the readiness score, the NE transmits a task configuration for the one or more tasks in accordance with the readiness score.

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