Traffic identification using machine learning

An apparatus for wireless communication at a first device, comprising:

• a processor;
• memory coupled with the processor;
• and
• instructions stored in the memory and executable by the processor to cause the apparatus to:
• transmit signaling to a second device, wherein the signaling is associated with a traffic class;
• receive a second message requesting information associated with a machine learning model;
• and
• transmit, based at least in part on the second message, a first message indicating the information associated with the machine learning model, the information comprising one or more parameters usable to obtain the machine learning model, wherein the machine learning model is to be used at the second device for identifying the traffic class.

An apparatus for wireless communication at a first device, comprising:

• means for transmitting signaling to a second device, wherein the signaling is associated with a traffic class;
• means for receiving a second message requesting information associated with a machine learning model;
• and
• means for transmitting, based at least in part on the second message, a first message indicating the information associated with the machine learning model, the information comprising one or more parameters usable to obtain the machine learning model, wherein the machine learning model is to be used at the second device for identifying the traffic class.

A non-transitory computer-readable medium storing code for wireless communication at a first device, the code comprising instructions executable by a processor to:

• transmit signaling to a second device, wherein the signaling is associated with a traffic class;
• receive a second message requesting information associated with a machine learning model;
• and
• transmit, based at least in part on the second message, a first message indicating the information associated with the machine learning model, the information comprising one or more parameters usable to obtain the machine learning model, wherein the machine learning model is to be used at the second device for identifying the traffic class.