As the usage of artificial intelligence (AI) grows within the field of cybersecurity, so too does
the demand for secure and decentralized AI systems to protect against potential cyber …

Federated learning (FL) and blockchains exhibit significant commonality, complementarity,
and alignment in various aspects, such as application domains, architectural features, and …

Industrial cyber–physical systems (ICPS) are emerging platforms for various industrial
applications. For instance, remote healthcare monitoring, real-time healthcare data …

In fog computing, inefficient scheduling of user tasks causes more delays. Moreover, how to
schedule tasks that need to be offloaded to fog nodes or cloud nodes has not been fully …

Utilizing digital healthcare services for patients who use wheelchairs is a vital and effective
means to enhance their healthcare. Digital healthcare integrates various healthcare …

Problem Emergency triage faces multiple challenges, including limited medical resources
and inadequate manual triage nurses, which cause incorrect triage, overcrowding in the …

In the rapidly evolving Internet of Things domain, managing voluminous data streams while
ensuring energy efficiency remains a cardinal challenge. Our research introduces a hybrid …

Supervision of Livelihood Issues (SLI) refers to the supervision and participation of the
general public in government actions and public affairs, with a particular focus on issues …

While centralized servers pose a risk of being a single point of failure, decentralized
approaches like blockchain offer a compelling solution by implementing a consensus …

Communication efficiency and privacy protection are two critical issues in distributed
machine learning. Existing methods tackle these two issues separately and may have a high …