Despite providing unparalleled connectivity and convenience, the exponential growth of the
Internet of Things (IoT) ecosystem has triggered significant cybersecurity concerns. These …

The rapid advances in the Internet of Things (IoT) have promoted a revolution in
communication technology and offered various customer services. Artificial intelligence (AI) …

The integration of Large Language Models (LLMs) and Edge Intelligence (EI) introduces a
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …

In response to escalating cyber threats and privacy issues within the Industrial Internet of
Things (IIoT), this research presents FedGenID, an advanced Federated Generative …

Crowdsensing has received widespread attention in recent years. It is extensively employed
in smart cities and intelligent transportation systems. This paper comprehensively surveys …

Edge Intelligence (EI) integrates Edge Computing (EC) and Artificial Intelligence (AI) to push
the capabilities of AI to the network edge for real-time, efficient and secure intelligent …

In the realm of federated learning (FL), the conventional dual-layered architecture,
comprising a central parameter server and peripheral devices, often encounters challenges …

The advent of sixth-generation (6G) networks is expected to start a new era in mobile
networks, characterized by unprecedented high demands on dense connectivity, ultra …

The next generation (6G) wireless communication technology has super advantages in high
transmission rates scenarios. Internet of Things (IoT) has been applied in recent years due …

The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …