Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching
In order to meet the growing demands for multimedia service access and release the pressure of the core network, edge caching and […]
Average AoI in Multi-Source Systems with Source-Aware Packet Management
We study the information freshness under three different source aware packet management policies in a status update system consisting of two independent […]
Highly efficient key agreement for remote patient monitoring in MEC-enabled 5G networks
Remote patient monitoring is one of the cornerstones to enable Ambient Assisted Living. Here, a set of devices provide their corresponding input, […]
NAS-FAS
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems. Existing methods heavily rely on the expert-designed networks, which may […]
JGR-P2O
State-of-the-art single depth image-based 3D hand pose estimation methods are based on dense predictions, including voxel-to-voxel predictions, point-to-point regression, and pixel-wise estimations. […]
Survey on blockchain based smart contracts
Blockchain is one of the disruptive technical innovation in the recent computing paradigm. Many applications already notoriously hard and complex are fortunate […]
Dynamic Group Convolution for Accelerating Convolutional Neural Networks
Replacing normal convolutions with group convolutions can significantly increase the computational efficiency of modern deep convolutional networks, which has been widely adopted […]
An Overview of Key Technologies in Physical Layer Security
The open nature of radio propagation enables ubiquitous wireless communication. This allows for seamless data transmission. However, unauthorized users may pose a […]
Joint Local and Global Information Learning With Single Apex Frame Detection for Micro-Expression Recognition
Micro-expressions (MEs) are rapid and subtle facial movements that are difficult to detect and recognize. Most recent works have attempted to recognize […]
Efficient importance sampling for the left tail of positive Gaussian quadratic forms
Estimating the left tail of quadratic forms in Gaussian random vectors is of major practical importance in many applications. In this letter, […]