Importance

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Abstract

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may select a machine learning (ML) feature group from among a first ML feature group and a second ML feature group based at least in part on a UE capability of the UE for ML features. The ML features or an ML feature parameter of the first ML feature group may be different than ML features or an ML feature parameter of the second ML feature group. The UE may perform an action associated with wireless communication based at least in part on a model with one or more ML features from the selected ML feature group. Numerous other aspects are described.

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