  Today's wireless systems are posing key challenges in terms of quality of
service and quality of physical experience. Metaverse has the potential to
reshape, transform, and add innovations to the existing wireless systems. A
metaverse is a collective virtual open space that can enable wireless systems
using digital twins, digital avatars, and interactive experience technologies.
Machine learning (ML) is indispensable for modeling twins, avatars, and
deploying interactive experience technologies. In this paper, we present the
role of ML in enabling metaverse-based wireless systems. We identify and
discuss a set of key requirements for advancing ML in the metaverse-based
wireless systems. Moreover, we present a case study of distributed split
federated learning for efficiently training meta-space models. Finally, we
discuss the future challenges along with potential solutions.
