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Pervasive AI for IoT applications: A survey on resource-efficient distributed artificial intelligence
Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of
Things (IoT) applications and services, spanning from recommendation systems and speech …
Things (IoT) applications and services, spanning from recommendation systems and speech …
Vehicle as a service (VaaS): Leverage vehicles to build service networks and capabilities for smart cities
Smart cities demand resources for rich immersive sensing, ubiquitous communications,
powerful computing, large storage, and high intelligence (SCCSI) to support various kinds of …
powerful computing, large storage, and high intelligence (SCCSI) to support various kinds of …
A survey on collaborative DNN inference for edge intelligence
WQ Ren, YB Qu, C Dong, YQ **g, H Sun… - Machine Intelligence …, 2023 - Springer
With the vigorous development of artificial intelligence (AI), intelligence applications based
on deep neural networks (DNNs) have changed people's lifestyles and production …
on deep neural networks (DNNs) have changed people's lifestyles and production …
A comprehensive survey on artificial intelligence for unmanned aerial vehicles
Artificial Intelligence (AI) is an emerging technology that finds its application in various
industries. Integration of AI in Unmanned Aerial Vehicles (UAVs) can lead to tremendous …
industries. Integration of AI in Unmanned Aerial Vehicles (UAVs) can lead to tremendous …
Accelerating DNN inference with reliability guarantee in vehicular edge computing
This paper explores on accelerating Deep Neural Network (DNN) inference with reliability
guarantee in Vehicular Edge Computing (VEC) by considering the synergistic impacts of …
guarantee in Vehicular Edge Computing (VEC) by considering the synergistic impacts of …
Distributed machine learning for uav swarms: Computing, sensing, and semantics
The unmanned aerial vehicle (UAV) swarms have shown great potential to serve next-
generation communication networks with their extraordinary flexibility, affordability, and the …
generation communication networks with their extraordinary flexibility, affordability, and the …
Joint training and resource allocation optimization for federated learning in UAV swarm
Unmanned aerial vehicles (UAVs) have been widely used to perform search and tracking
tasks in military and civil fields. To perform these tasks autonomously, a swarm of multiple …
tasks in military and civil fields. To perform these tasks autonomously, a swarm of multiple …
Deep reinforcement learning for trajectory path planning and distributed inference in resource-constrained UAV swarms
The deployment flexibility and maneuverability of unmanned aerial vehicles (UAVs)
increased their adoption in various applications, such as wildfire tracking, border monitoring …
increased their adoption in various applications, such as wildfire tracking, border monitoring …
Elastic collaborative edge intelligence for UAV swarm: Architecture, challenges, and opportunities
Unmanned aerial vehicles (UAVs) have been widely used in military and civilian fields by
carrying out intelligent applications with deep learning technologies, such as battlefield …
carrying out intelligent applications with deep learning technologies, such as battlefield …
CNNPC: End-edge-cloud collaborative CNN inference with joint model partition and compression
Edge Intelligence (EI) aims at addressing concerns like response latency risen by the
conflict between predominating Cloud-based deployments of computationally intensive AI …
conflict between predominating Cloud-based deployments of computationally intensive AI …