Federated learning (FL) enables edge devices to collaboratively train ma...
Recent years have witnessed the emergence of mobile edge computing (MEC)...
Sensor drift is a long-existing unpredictable problem that deteriorates ...
Technology companies building consumer-facing platforms may have access ...
Device-edge co-inference opens up new possibilities for resource-constra...
Provided with mobile edge computing (MEC) services, wireless devices (WD...
In this paper, we consider a mobile-edge computing system, where an acce...
We propose a deep bilinear model for blind image quality assessment (BIQ...
No-reference image quality assessment (NR-IQA) aims to measure the image...
Deep convolutional neural networks have recently achieved great success ...
Mobile-edge computing (MEC) has recently emerged as a cost-effective par...
The development of intelligent transportation systems raises many
requir...