… Edge intelligence, however, is provided if edge users themselves can … to boost edge
intelligence in the sky only [11], in UaaIS, we aim to boost the edge intelligence within the air-ground …

… resources of edge devices as well as the ubiquitous coverage envisioned by 6G. To
empower edge intelligence, in this article, we propose a framework called air-ground integrated …

… air-ground integrated mobile edge computing (MEC) is expected to fulfill the ever-growing
resource demands of artificial intelligence (… termed air-ground collaborative edge intelligence (…

… , is extremely challenging, due to the limited resources of edge devices as well as the …
the edge intelligence, in this article, we propose a novel framework called AGIFL (Air-Ground …

… spaceair-ground … -latency edge intelligence for supporting mission-critical services by
harnessing the diversified communication, computing, and caching resources at the network edge …

… /edge computing architecture. In this article, to address the issues, we propose a novel air-ground
integrated mobile edge … , caching, and computing of the edge network. Specifically, we …

… on ground BSs, we introduce a new optimization framework for serving LLMs in edge intelligence,
… ‚ We formulate a novel optimization framework for edge intelligence, ie, the joint model …

… of areas including intelligent and connected vehicles, mobile/edge/cloud computing and
storage, Internet of things security, wireless and mobile ad hoc networks, and space-air-ground …

… EC platform within a VN architecture for helping VUs with new intelligent applications
and … edge computing, and machine learning, we propose here three possible layered air-ground …

… In this section, the edge intelligence system is constructed for evaluating various tasks in
UAM. Deep learning-based object detection, sensor fusion, and trajectory management are …