The rapid increase in the volume of data generated from connected devices in industrial
Internet of Things paradigm, opens up new possibilities for enhancing the quality of service …

As the Industrial Internet of Things (IIoT) continues to grow in scale, edge devices will
generate massive amounts of data every single day. However, most of the IIoT data exists in …

Federated learning breaks down data silos and promotes the intelligence of the Industrial
Internet of Things (IIoT). However, the principal–agent architecture commonly used in …

Federated learning enables data owners to jointly train a neural network without sharing
their personal data, which makes it possible to share sensitive data generated from various …

As a new trusted data sharing pattern with privacy protection, the integration mechanism of
blockchain and Federated Learning has attracted extensive attention. Generally, this …

With the dramatically increasing deployment of IoT (Internet-of-Things) and communication,
data has always been a major priority to achieve intelligent healthcare in a smart city. For the …

The role of the Internet of Things (IoT) in the revolutionized society cannot be overlooked.
The IoT can leverage advanced machine learning (ML) algorithms for its applications …

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 …

Mobile-edge computing (MEC) has been envisioned as a promising paradigm to handle the
massive volume of data generated from ubiquitous mobile devices for enabling intelligent …

With the development of Internet of Things (IoT) and Artificial Intelligence (AI) technologies,
smart services have penetrated into every aspect of our daily lives, including the medical …