Indication of a training data set for lifecycle management

An apparatus for wireless communications at a network entity, comprising:

• a processor;
• memory coupled with the processor;
• and
• instructions stored in the memory and executable by the processor to cause the apparatus to:
• output control information indicative of a characteristic of a data set used for training machine learning models at a user equipment (UE), the machine learning models associated with maintaining a wireless communication link;
• and
• obtain, in response to the control information, feedback information indicative of one or more parameters of a first machine learning model or a functionality of a second machine learning model based at least in part on a determination to activate or deactivate the first machine learning model for maintaining the wireless communication link or validate or invalidate a functionality of the second machine learning model for maintaining the wireless communication link.

A method for wireless communications at a user equipment (UE), comprising:

• receiving, from a network entity, control information indicative of a characteristic of a data set used for training machine learning models at the UE, the machine learning models associated with maintaining a wireless communication link;
• determining to activate or deactivate a first machine learning model for maintaining the wireless communication link or validate or invalidate a functionality of a second machine learning model for maintaining the wireless communication link based at least in part on receiving the control information;
• and
• transmit, to the network entity, feedback information indicative of one or more parameters of the first machine learning model or the functionality of the second machine learning model based at least in part on the determining.