Energy-Efficient Federated Learning in Internet of Drones Networks
Internet of drones (IoD), where drones act as the Internet of things (IoT) devices, makes IoT
networks much more flexible and responsive because of high mobility of drones. Machine …
networks much more flexible and responsive because of high mobility of drones. Machine …
Reliable dnn partitioning for uav swarm
M Zhao, X Zhang, Z Meng, X Hou - 2022 International Wireless …, 2022 - ieeexplore.ieee.org
Recently deep neural networks (DNNs) are widely used in various fields. These intelligence
applications, such as target recognition, are often computation-intensive and latency …
applications, such as target recognition, are often computation-intensive and latency …
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 …
An adaptive DNN inference acceleration framework with end–edge–cloud collaborative computing
Abstract Deep Neural Networks (DNNs) based on intelligent applications have been
intensively deployed on mobile devices. Unfortunately, resource-constrained mobile devices …
intensively deployed on mobile devices. Unfortunately, resource-constrained mobile devices …
PieSlicer: Dynamically improving response time for cloud-based CNN inference
Executing deep-learning inference on cloud servers enables the usage of high complexity
models for mobile devices with limited resources. However, pre-execution time-the time it …
models for mobile devices with limited resources. However, pre-execution time-the time it …
An optimization framework for efficient vision-based autonomous drone navigation
Fully autonomous drones are a new emerging field that has enabled many applications
such as gas source leakage localization, wild-fire detection, smart agriculture, and search …
such as gas source leakage localization, wild-fire detection, smart agriculture, and search …
Communication-efficient federated learning in drone-assisted iot networks: Path planning and enhanced knowledge distillation techniques
As 5G and beyond networks continue to proliferate, intelligent monitoring systems are
becoming increasingly prevalent. However, geographically isolated regions with sparse …
becoming increasingly prevalent. However, geographically isolated regions with sparse …
[HTML][HTML] Deepbrain: Experimental evaluation of cloud-based computation offloading and edge computing in the internet-of-drones for deep learning applications
Unmanned Aerial Vehicles (UAVs) have been very effective in collecting aerial images data
for various Internet-of-Things (IoT)/smart cities applications such as search and rescue …
for various Internet-of-Things (IoT)/smart cities applications such as search and rescue …
Edge intelligence: Challenges and opportunities of near-sensor machine learning applications
The number of connected IoT devices is expected to reach over 20 billion by 2020. These
range from basic sensor nodes that log and report the data for cloud processing, to the ones …
range from basic sensor nodes that log and report the data for cloud processing, to the ones …
Dycoco: A dynamic computation offloading and control framework for drone video analytics
Unmanned aerial vehicles (UAV) or drone systems equipped with cameras are extensively
used in different surveillance scenarios and often require real-time control and high-quality …
used in different surveillance scenarios and often require real-time control and high-quality …