Machine learning model sharing between wireless nodes

An apparatus for wireless communications by a user equipment (UE), comprising:

• one or more memories comprising instructions;
• and
• one or more processors configured, individually or in any combination, to execute the instructions and cause the apparatus to:
• receive, from a network entity, an indication of one or more machine learning models associated with two or more transmission and reception points (TRPs), wherein the indication includes, for each of the one or more machine learning models, an identifier associated with a corresponding machine learning model of the one or more machine learning models;
• use at least one machine learning model for applications related to a TRP;
• receive a notification to switch from a first machine learning model of the one or more machine learning models, the first machine learning model associated with a first TRP of the two or more TRPs, to a second machine learning model of the one or more machine learning models, the second machine learning model associated with a second TRP of the two or more TRPs;
• and
• use the second machine learning model associated with the second TRP based on the identifier.

An apparatus for wireless communications by a wireless node, comprising:

• one or more memories comprising instructions;
• and
• one or more processors configured, individually or in any combination, to execute the instructions and cause the apparatus to:
• receive, from a user equipment (UE), an indication that identifies one or more machine learning models as being associated with at least one transmission and reception point (TRP) of a plurality of TRPs supported by the wireless node, wherein the indication includes, for each of the one or more machine learning models, an identifier associated with a corresponding machine learning model of the one or more machine learning models;
• associate the one or more machine learning models with the at least one TRP;
• and
• transmit, to the UE, a notification to switch from a first machine learning model of the one or more machine learning models, the first machine learning model associated with a first TRP of the plurality of TRPs, to a second machine learning model of the one or more machine learning models, the second machine learning model associated with a second TRP of the plurality of TRPs.

An apparatus for wireless communications by a wireless node, comprising:

• one or more memories comprising instructions;
• and
• one or more processors configured, individually or in any combination, to execute the instructions and cause the apparatus to:
• transmit, to a user equipment (UE), an indication of at least one machine learning model of one or more machine learning models, wherein the indication identifies, for each of the one or more machine learning models, an identifier associated with a corresponding machine learning model of the one or more machine learning models;
• and
• transmit, to the UE, a notification to switch from a first machine learning model of the one or more machine learning models, the first machine learning model associated with a first transmission and reception point (TRP) of two or more TRPs to a second machine learning model of the one or more machine learning models, the second machine learning model associated with a second TRP of the two or more TRPs.