Data confidentiality is a central concern in modern computer systems and services, as
sensitive data from users and companies are being increasingly delegated to such systems …

New technology is needed to meet the latency and bandwidth issues present in cloud
computing architecture specially to support the currency of 5G networks. Accordingly, mobile …

In this paper, we investigate a multiuser mobile edge computing (MEC)-aided smart Internet
of vehicle (IoV) network, where one edge server can help accomplish the intensive …

Action recognition in video is a research hot spot in the field of computer vision. Learning
important clues in video context has significant effect to promote the interaction prediction …

The existing trajectory prediction is mainly for specific road sections, which is poor to adapt
to complex and changing traffic scenarios. Meanwhile, decentralized trajectory data is hard …

With the popularity of image editing tools, the originality and information security of images
are facing serious threats. The most common threat is splicing forgery that copies a part of …

Federated Learning (FL) is one of the key technologies to solve privacy protection for cloud‐
edge intelligent collaborative computing, and its security and privacy issues have attracted …

Deep learning technologies have achieved remarkable success in various tasks, ranging
from computer vision, object detection to natural language processing. Unfortunately, state …

Federated learning is a novel distribute machine learning paradigm to support cooperative
model training among multiple participant clients, where each client keeps its private data …

The classification of network traffic, which involves classifying and identifying the type of
network traffic, is the most fundamental step to network service improvement and modern …