Edge-device co-inference refers to deploying well-trained artificial
int...
While federated learning (FL) improves the generalization of end-to-end
...
With the advent of emerging IoT applications such as autonomous driving,...
Federated edge learning (FEEL) enables privacy-preserving model training...
The recent development of scalable Bayesian inference methods has renewe...
With the recent advancements in edge artificial intelligence (AI), futur...
Over-the-air federated edge learning (Air-FEEL) is a communication-effic...
Pushing artificial intelligence (AI) from central cloud to network edge ...
Departing from the classic paradigm of data-centric designs, the 6G netw...
Over-the-air federated edge learning (Air-FEEL) has emerged as a promisi...
In recent years, the exponential increase in the demand of wireless data...
This paper studies a new multi-device edge artificial-intelligent (AI)
s...
In this paper, we address the problem of joint sensing, computation, and...
This paper investigates the effect of imperfect channel state informatio...
Neural networks often encounter various stringent resource constraints w...
To support the unprecedented growth of the Internet of Things (IoT)
appl...
This letter studies a vertical federated edge learning (FEEL) system for...
Training a machine learning model with federated edge learning (FEEL) is...
Over-the-air computation (AirComp) has emerged as a new analog power-dom...
This paper studies the UAV-enabled integrated sensing and communication
...
The popular federated edge learning (FEEL) framework allows
privacy-pres...
The rapid development of artificial intelligence together with the power...
Driven by the vision of intelligent connection of everything and digital...
This paper investigates the transmission power control in over-the-air
f...
Over-the-air federated edge learning (Air-FEEL) is a communication-effic...
Wireless data aggregation (WDA), referring to aggregating data distribut...
This paper considers a multi-cell AirComp network and investigates the
o...
Federated edge learning (FEEL) is a popular framework for model training...
The massive sensing data generated by Internet-of-Things will provide fu...
With the prevalence of intelligent mobile applications, edge learning is...
In this paper, we study the power control problem for Over-the-air
compu...
The popularity of mobile devices results in the availability of enormous...
The popularity of mobile devices results in the availability of enormous...
The popularity of mobile devices results in the availability of enormous...
One basic operation of Internet-of-Things (IoT) networks is aggregating
...
By deploying machine learning algorithms at the network edge, edge learn...
The recent revival of artificial intelligence (AI) is revolutionizing al...
As a revolution in networking, Internet of Things (IoT) aims at automati...
Modern machine learning algorithms have been adopted in a range of
signa...
Recent breakthroughs in machine learning especially artificial intellige...
Recent breakthroughs in machine learning especially artificial intellige...
To support future IoT networks with dense sensor connectivity, a techniq...