In recent years, Federated Learning (FL) has gained relevance in training collaborative
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …

Federated learning is a privacy-preserving machine learning technique that trains models
across multiple devices holding local data samples without exchanging them. There are …

Federated learning (FL) is a secure distributed machine learning paradigm that addresses
the issue of data silos in building a joint model. Its unique distributed training mode and the …

Driven by the ever-increasing requirements of autonomous vehicles, such as traffic
monitoring and driving assistant, deep learning-based object detection (DL-OD) has been …

The research on the sixth-generation (6G) wireless communications for the development of
future mobile communication networks has been officially launched around the world. 6G …

Healthcare fraud is a global problem affecting both developing and developed countries. It is
the deliberate attempt of the perpetrators to take undue advantage of the inefficiencies in …

Unmanned aerial vehicles (UAVs) have recently established their capacity to provide cost-
effective and credible solutions for various real-world scenarios. UAVs provide an immense …

Currently, 6G is being proposed as a new next-generation communication architecture. The
inclusion of satellite communication networks makes it possible to genuinely space-air …

Industrial Internet of Things (IIoT) facilitate private data collecting via (a broad range of)
sensors, and the analysis of such data can inform decision making at different levels …

As the Internet of Things (IoT) ecosystem evolves, innovative applications with stringent
demands with respect to latency will emerge. To handle computation-intensive tasks in a …