Pervasive AI for IoT applications: A survey on resource-efficient distributed artificial intelligence

E Baccour, N Mhaisen, AA Abdellatif… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
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 …

Vehicle as a service (VaaS): Leverage vehicles to build service networks and capabilities for smart cities

X Chen, Y Deng, H Ding, G Qu, H Zhang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Smart cities demand resources for rich immersive sensing, ubiquitous communications,
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 …

A comprehensive survey on artificial intelligence for unmanned aerial vehicles

S Sai, A Garg, K Jhawar, V Chamola… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
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 …

Accelerating DNN inference with reliability guarantee in vehicular edge computing

K Liu, C Liu, G Yan, VCS Lee… - IEEE/ACM Transactions …, 2023 - ieeexplore.ieee.org
This paper explores on accelerating Deep Neural Network (DNN) inference with reliability
guarantee in Vehicular Edge Computing (VEC) by considering the synergistic impacts of …

Distributed machine learning for uav swarms: Computing, sensing, and semantics

Y Ding, Z Yang, QV Pham, Y Hu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The unmanned aerial vehicle (UAV) swarms have shown great potential to serve next-
generation communication networks with their extraordinary flexibility, affordability, and the …

Joint training and resource allocation optimization for federated learning in UAV swarm

Y Shen, Y Qu, C Dong, F Zhou… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
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 …

Deep reinforcement learning for trajectory path planning and distributed inference in resource-constrained UAV swarms

MA Dhuheir, E Baccour, A Erbad… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The deployment flexibility and maneuverability of unmanned aerial vehicles (UAVs)
increased their adoption in various applications, such as wildfire tracking, border monitoring …

Elastic collaborative edge intelligence for UAV swarm: Architecture, challenges, and opportunities

Y Qu, H Sun, C Dong, J Kang, H Dai… - IEEE …, 2023 - ieeexplore.ieee.org
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 …

CNNPC: End-edge-cloud collaborative CNN inference with joint model partition and compression

S Yang, Z Zhang, C Zhao, X Song… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Edge Intelligence (EI) aims at addressing concerns like response latency risen by the
conflict between predominating Cloud-based deployments of computationally intensive AI …