Mobile edge computing (MEC), as a new distributed computing model, satisfies the low
energy consumption and low latency requirements of computation-intensive services. The …

Due to the limited computing resource and battery capability at the mobile devices, the
computation-intensive tasks generated by mobile devices can be offloaded to edge servers …

In many remote areas lacking ground communication infrastructure support, such as
wilderness, desert, ocean, etc., an integrated edge computing network in the air with edge …

Federated learning (FL) provides a new paradigm for protecting data privacy in Industrial
Internet of Things (IIoT). To reduce network burden and latency brought by FL with a …

Mobile applications can leverage high-quality deep learning models such as convolutional
neural networks and deep neural networks to provide high-performance cognitive services …

Artificial Intelligence of Things (AIoT) is the combination of artificial intelligence (AI)
technologies with the Internet of Things (IoT) infrastructure to achieve more efficient IoT …

Space–air–aqua integrated network (SAAIN) is an emerging maritime network architecture
to support reliable and timely communications. Considering the computation capability and …

Abstract The Internet of Medical Things (IoMT) promises transformative benefits for patient
care and remote monitoring but raises significant security and privacy concerns. Ensuring …

With the development of outsourcing services, users with limited resources tend to store
encrypted images on remote servers and search them anytime and anywhere. However …

With increasingly popular GPS-equipped mobile devices (eg, smartphones, tablets, laptops),
massive spatio-textual data has been outsourced to cloud servers for storage and analysis …