In this paper, we investigate federated contextual linear bandit learnin...
Edge-device co-inference refers to deploying well-trained artificial
int...
Edge artificial intelligence (AI) has been a promising solution towards ...
Vertical federated learning (FL) is a collaborative machine learning
fra...
Driven by the interplay among artificial intelligence, digital twin, and...
Vertical federated learning (FL) is a critical enabler for distributed
a...
Departing from the classic paradigm of data-centric designs, the 6G netw...
In this paper, we study unmanned aerial vehicles (UAVs) assisted wireles...
The rapid advancement of artificial intelligence technologies has given ...
With the recent advances in mobile energy storage technologies, electric...
Task-oriented communications, mostly using learning-based joint
source-c...
The safety-critical scenarios of artificial intelligence (AI), such as
a...
This paper studies a new multi-device edge artificial-intelligent (AI)
s...
Reconfigurable intelligent surface (RIS) has emerged as a cost-effective...
Federated learning (FL) over resource-constrained wireless networks has
...
The 6G network enables a subnetwork-wide evolution, resulting in a "netw...
Federated learning (FL), as a disruptive machine learning paradigm, enab...
Federated learning (FL) is a promising learning paradigm that can tackle...
Federated learning (FL), as an emerging edge artificial intelligence
par...
The thriving of artificial intelligence (AI) applications is driving the...
Massive access is a critical design challenge of Internet of Things (IoT...
In this paper, we consider decentralized federated learning (FL) over
wi...
Federated learning (FL) is recognized as a key enabling technology to pr...
Over-the-air computation (AirComp) is a disruptive technique for fast
wi...
In this paper, we consider fast wireless data aggregation via over-the-a...
Over-the-air computation (AirComp) provides a promising way to support
u...
With the rapid development of Internet of Things (IoT), massive machine-...
Over-the-air computation (AirComp) based federated learning (FL) is capa...
In this paper, we consider federated learning (FL) over a noisy fading
m...
Antenna selection is capable of reducing the hardware complexity of mass...
Deep learning has recently emerged as a disruptive technology to solve
c...
Over-the-air computation (AirComp) is a promising technology that is cap...
Intelligent reflecting surface (IRS) has the potential to significantly
...
In multiple-input multiple-output (MIMO) device-to-device (D2D) networks...
The adoption of reconfigurable intelligent surface (RIS) in wireless net...
Given the fast growth of intelligent devices, it is expected that a larg...
Intelligent Internet-of-Things (IoT) will be transformative with the
adv...
With the rapid upsurge of deep learning tasks at the network edge, effec...
Artificial intelligence (AI) has achieved remarkable breakthroughs in a ...
Intelligent reflecting surface (IRS) is a proposing technology in 6G to
...
This paper investigates the grant-free random access with massive IoT
de...
Although the commercialization of fifth-generation (5G) mobile networks ...
Reconfigurable intelligent surface (RIS) as an emerging cost-effective
t...
Data privacy and security becomes a major concern in building machine
le...
Intelligent Reflecting Surface (IRS) has been a promising solution to en...
Reconfigurable intelligent surface (RIS) has recently been recognized as...
Edge machine learning can deliver low-latency and private artificial
int...
Deep neural networks have recently emerged as a disruptive technology to...
Although deep learning has shown its powerful performance in many
applic...
Intelligent reflecting surface (IRS) has recently been recognized a prom...