In recent years, semantic communication has been a popular research topi...
As conventional communication systems based on classic information theor...
To facilitate the deployment of digital twins in Metaverse, the paradigm...
Real-time intelligence applications in Internet of Things (IoT) environm...
Benefited from the advances of deep learning (DL) techniques, deep joint...
In an asynchronous federated learning framework, the server updates the
...
Deep learning (DL) based semantic communication methods have been explor...
Chronological age of healthy brain is able to be predicted using deep ne...
Semantic-oriented communication has been considered as a promising to bo...
Deep learning (DL) based semantic communication methods have been explor...
The main challenge to deploy deep neural network (DNN) over a mobile edg...
With the increased penetration and proliferation of Internet of Things (...
Federated learning (FL) is a privacy-preserving machine learning setting...
The novel 2019 Coronavirus (COVID-19) infection has spread world widely ...
Massive multiple-input multiple-output (MIMO) systems require downlink
c...
Massive multiple-input multiple-output (MIMO) systems require downlink
c...
Coded caching provides significant gains over conventional uncoded cachi...
Content delivery in a multi-user cache-aided broadcast network is studie...
Most results on coded caching focus on a static scenario, in which a fix...
Content delivery in a multi-user cache-aided broadcast network is studie...
The muti-layer information bottleneck (IB) problem, where information is...