Customization feature vector feedback for machine learning components in wireless communication

An apparatus for wireless communication at a server, comprising:

• a memory;
• and
• one or more processors, coupled to the memory, configured to:
• transmit a customization feature vector feedback configuration associated with a reporting procedure for reporting updates corresponding to at least one customization feature vector that is based at least in part on a machine learning component and one or more features associated with an environment of a client;
• and
• receive an update corresponding to the at least one customization feature vector based at least in part on the configuration.

A method of wireless communication performed by a client, comprising:

• receiving a customization feature vector feedback configuration associated with a reporting procedure for reporting updates corresponding to at least one customization feature vector that is based at least in part on one or more features associated with an environment of the client;
• determining an update corresponding to the at least one customization feature vector using a machine learning component;
• and
• transmitting the update based at least in part on the customization feature vector feedback configuration.