Capability indication for a multi-block machine learning model
AssigneeQUALCOMM Incorporated
InventorsYuwei Ren, Huilin Xu
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AssigneeQUALCOMM Incorporated
InventorsYuwei Ren, Huilin Xu
Estimating the term…
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may indicate a support for an end-to-end multi-block machine learning application, a first UE capability for a backbone block of the multi-block machine learning application that makes up one or more front-end layers (e.g., one or more backbone layers), a second UE capability for a task-specific block of the multi-block machine learning application that makes up the end layer (s) of the end-to-end model (e.g., one or more task-specific layers), or a combination thereof. In some examples, the UE may transmit separate indications for the first UE capability and for the second UE capability. Additionally or alternatively, the UE may transmit a general machine learning capability indication, where a base station then determines the first UE capability for the base stage and the second UE capability for the task-specific stage from the general machine learning capability.
A method for wireless communications at a user equipment (UE), comprising:
A method for wireless communications at a network entity, comprising:
An apparatus for wireless communications at a user equipment (UE), comprising:
An apparatus for wireless communications at a network entity, comprising:
Dependencies are inferred from the claim text.