… Instead, we should exploit the coupling between communication and learning in edge … for
wireless communication in edge learning, collectively called learning-driven communication. In …

… over wireless links, where edge devices communicate and … the key building blocks of edge
ML, different neural network … challenging in edge ML where the wireless communication …

… network edge. One of the key motivations of pushing machine learning toward the edge is to
… To this end, we propose an intelligent edge computation offloading framework to make fine-…

… model and edge-sharing knowledge graph for the semantic management. We also
introduce the role of SemCom in training intelligent agents and empowering communication-efficient …

… backbone of future services and wireless communication systems in 5G integration. In …
survey and an inclusive overview of Intelligence Edge Computing (IEC) technologies in 6G …

… : wireless communications and ML. Advances in EL are widely expected to provide a platform
to implement edge artificial intelligence (… techniques and wireless communication resource …

… the Intelligent Edge services. As a main outcome of this white paper, we envision a transition
from Internet of Things to Intelligent Internet of Intelligent … of future wireless communication …

… The application of UAV technology in the field of wireless communications was originally
intended to deploy emergency communications in a complex environment to alleviate problems …

… the potential and challenges of edge intelligence in connected autonomous driving. We
presented a two-tier edge learning-empowered architecture of wireless computing for AVs and …

… to another edge server) needs communication resources. Moreover, one cannot ignore the
demand for wireless communication resources when the end-users ask for edge computing. …