With the massive deployment of the Internet of Things (IoT) devices, many data analysis
applications emerge for the large amount of data accumulated by IoT. Federated learning …

In this article, we propose a trustworthy privacy-preserving federated learning (FL)-based
deep learning (DL) service framework for Industrial Internet of Things-enabled systems. FL …

Federated learning-enabled mobile edge computing implements privacy-preserving
collaborative machine learning of complex models. However, mobile end devices have high …

Federated learning (FL) can protect clients' privacy from leakage in distributed machine
learning. Applying federated learning to edge computing can protect the privacy of edge …

Internet-of-Things (IoT) companies strive to get feedback from users to improve their
products and services. However, traditional surveys cannot reflect the actual conditions of …

With the rapid development of the Internet of Things (IoT) and the rapid popularization of 5 G
networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is …

The booming of edge computing enables and reshapes this big data era. However, privacy
issues arise because increasing volume of data are published per second while the edge …

The concept of Internet of Everything is like a revolutionary storm, bringing the whole society
closer together. Internet of Things (IoT) has played a vital role in the process. With the rise of …

With the increasing importance of data security, privacy protection has gradually risen to a
strategic position, especially IoT data privacy protection. The concern for data security has …

Thanks to the booming development of artificial intelligence, 5G technology, and intelligent
manufacturing technology, numerous intelligent edge devices contained in the industrial …