  In this article, we advocate for the design of ad hoc artificial intelligence
(AI)/machine learning (ML) models to facilitate their usage in future smart
infrastructures based on communication networks. To motivate this, we first
review key operations identified by the 3GPP for transferring AI/ML models
through 5G networks and the main existing techniques to reduce their
communication overheads. We also present a novel communication-aware ML
framework, which we refer to as Accordion, that enables an efficient AI/ML
model transfer thanks to an overhauled model training and communication
protocol. We demonstrate the communication-related benefits of Accordion,
analyse key performance trade-offs, and discuss potential research directions
within this realm.
