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

Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks