Nowadays, with the rapid progress of Internet‐based and distributed systems such as cloud
computing, peer‐to‐peer networking, and Internet of Things (IoT), significant improvements …

With the rapid growth of edge-assisted solutions in Internet of Things (IoT) networks,
connected healthcare progressively relies on such solutions. This refers to systems in which …

The safety-critical scenarios of artificial intelligence (AI), such as autonomous driving,
Internet of Things, smart healthcare, etc., have raised critical requirements of trustworthy AI …

The healthcare industry suffers from poor interoperability due to its fragmented
communication systems. Each medical institution has a communication system that is not …

With the increase in sophistication and connectedness of the healthcare networks, their
attack surfaces and vulnerabilities increase significantly. Malicious agents threaten patients' …

Federated learning (FL), as a disruptive machine learning (ML) paradigm, enables the
collaborative training of a global model over decentralized local data sets without sharing …

The usage of 5G-enabled IoT devices is rising exponentially as humans tend to shift towards
a more automated lifestyle. A significant amount of IoT devices is expected to join the …

In recent years, cloud manufacturing (CMfg) has been developed as an intelligent
manufacturing system, in which geographically distributed manufacturing resources are …

Recently, the Internet of Medical Things (IoMT) could offload healthcare services to 5G edge
computing for low latency. However, some existing works assumed altruistic patients will …

With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …