Huge amounts of unstructured data including image, video, audio, and text are ubiquitously
generated and shared, and it is a challenge to protect sensitive personal information in …

Federated learning (FL) is a kind of distributed machine learning framework, where the
global model is generated on the centralized aggregation server based on the parameters of …

Abstract The integration of Deep Learning (DL) and the Internet of Things (IoT) has
revolutionized technology in the twenty-first century, enabling humans and machines to …

The development of intelligent cyber–physical systems (ICPSs) in the virtual network
environment is facing severe challenges. On the one hand, the Internet of Things (IoT) …

In the era of big data, increasingly massive volumes of data is generated and published
consecutively for both research and commercial purposes. The potential value of sensitive …

Privacy leakage becomes increasingly serious because massive volumes of data are
constantly shared in diverse booming cyber-physical social networks (CPSN). Differential …

Abstract 5G networks, as the up-to-date communication platforms, are experiencing fast
booming. Meanwhile, increasing volumes of sensitive data, especially location information …

The proliferation of location-based services (LBS) leads to increasing concern about
location privacy. Location obfuscation is a promising privacy-preserving technique but yet to …

The information era is coming. As a popular technology in the information age, Internet of
Things (IoT) can collect various types of information in real time, realize the ubiquitous …

Nowadays, smart community becomes as a key component of Internet of Things (IoT). The
fast booming of it significantly enhances the application of smart cities. To achieve data …