… -edgecloud computing (EECC), where the heterogeneous capabilities of on-device computing,
edge computing, and cloud computing … resource-intensive and distributed AI computation. …

… intelligence. In this article, we divide edge intelligence into AI for edge (intelligence-enabled
edge computing) and AI on edge (artificial intelligence on edge). The former focuses on …

… We expect to investigate the optimization of edge computing and caching, where decisions
of caching, computing, and resource allocation are considered jointly. Meanwhile, the system …

… for resource allocation, computational task scheduling, and … Edge computing extends
cloud analytics to the network edge … of the IoT with AI aided by edge computing and the cloud. …

… enabler of IoT, multiaccess edge computing (MEC), … computing capabilities at the edge of
the radio access network (RAN). By providing computational and storage resources at the edge…

… Intelligence Edge Computing (IEC) is the key enabler of emerging 5G technologies … survey
and an inclusive overview of Intelligence Edge Computing (IEC) technologies in 6G focusing …

… In this article, we present an intelligent cooperative edge (ICE) computing in IoT networks to
… edge computing. The AI-related modules of edge computing are redesigned for distributing …

… In response, a new computing model called edge computing (EC) has drawn extensive attention
from both industry and academia. With the continuous deepening of the research on EC…

… This framework uses neural architecture search method to split the DNN in mobile edge
computing (MEC) according to the computing power and communication capacity of MEC …

… The distributed coordination algorithm based on ADMM proposed in this research can
achieve fast convergence and close to the optimal performance in intelligent edge computing, it …