Multimodal signals, including text, audio, image and video, can be integ...
Next-generation edge intelligence is anticipated to bring huge benefits ...
To alleviate the shortage of computing power faced by clients in trainin...
This paper investigates the utilization of simultaneously transmitting a...
Semantic communication (SC) is an emerging intelligent paradigm, offerin...
We consider the problem of clustering data points coming from sub-Gaussi...
This paper investigates the multi-antenna covert communications assisted...
This paper investigates the multi-antenna covert communications assisted...
Wireless sensors are everywhere. To address their energy supply, we prop...
The proposed method in this paper proposes an end-to-end unsupervised
se...
With the rapid development of intelligent transportation system applicat...
Federated learning (FL) has been proposed as a popular learning framewor...
Mobile communication standards were developed for enhancing transmission...
This paper considers a practical mobile edge computing (MEC) system, whe...
In this paper, a multi-user cooperative computing framework is applied t...
In this paper, we propose a matching theory based multi-user cooperative...
This paper considers an intelligent reflecting surface (IRS) assisted
mu...
In recent years, knowledge graph completion methods have been extensivel...
The sixth generation (6G) systems are generally recognized to be establi...
Insecure Internet of things (IoT) devices pose significant threats to
cr...
In Unmanned Aerial Vehicle (UAV)-enabled mobile edge computing (MEC) sys...
With 5G mobile communication systems been commercially rolled out, resea...
In this paper, we investigate an intelligent reflecting surface (IRS)
as...
Data representation plays a critical role in the performance of novelty
...
Full-spectrum ranging from sub 6 GHz to THz and visible light will be
ex...
We consider the optimization of distributed resource scheduling to minim...
With the wireless communication being more various in the future, it's
b...
An online resource scheduling framework is proposed for minimizing the s...
Monte Carlo methods are core to many routines in quantitative finance su...
In this paper, multi-unmanned aerial vehicle (UAV) enabled mobile edge
c...
Large scale deep neural networks profited from an emerging class of AI
a...
As the global Internet of things increasingly is popular with consumers ...
With the increasing popularity of user equipments (UEs), the correspondi...
Given i.i.d samples from some unknown continuous density on hyper-rectan...
Given iid samples from some unknown continuous density on hyper-rectangl...
In this paper, we propose a one-pass algorithm on MapReduce for penalize...
Variable selection in linear models plays a pivotal role in modern
stati...