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 …
A survey on collaborative DNN inference for edge intelligence
WQ Ren, YB Qu, C Dong, YQ Jing, 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 …
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 …
Horizontally distributed inference of deep neural networks for AI-enabled IoT
I Rodriguez-Conde, C Campos, F Fdez-Riverola - Sensors, 2023 - mdpi.com
Motivated by the pervasiveness of artificial intelligence (AI) and the Internet of Things (IoT) in
the current “smart everything” scenario, this article provides a comprehensive overview of …
the current “smart everything” scenario, this article provides a comprehensive overview of …
[HTML][HTML] Multi-agent reinforcement learning for privacy-aware distributed CNN in heterogeneous IoT surveillance systems
Abstract Although Deep Neural Networks (DNN) have become the backbone technology of
several Internet of Things (IoT) applications, their execution in resource-constrained devices …
several Internet of Things (IoT) applications, their execution in resource-constrained devices …
Llhr: Low latency and high reliability cnn distributed inference for resource-constrained uav swarms
Recently, Unmanned Aerial Vehicles (UAVs) have shown impressive performance in many
critical applications, such as surveillance, search and rescue operations, environmental …
critical applications, such as surveillance, search and rescue operations, environmental …
Efficient Pipeline Collaborative DNN Inference in Resource-Constrained UAV Swarm
Recent advancements in unmanned aerial vehicle (UAV) technology have propelled the
popularity of edge intelligence (EI) applications with deep learning in UAV swarm …
popularity of edge intelligence (EI) applications with deep learning in UAV swarm …
Dynamic DNN Model Switching for Collaborative Edge Intelligence in UAV Swarm
Deploying machine learning (ML) algorithms on Unmanned Aerial Vehicle (UAV) swarm to
perform real-time tasks such as object detection is currently a hot research topic. However …
perform real-time tasks such as object detection is currently a hot research topic. However …