Blockchain technologies (BCT) are utilized in healthcare to facilitate a smart and secure
transmission of patient data. BCT solutions, however, are unable to store data produced by …

While data is distributed in multiple edge devices, federated learning (FL) is attracting more
and more attention to collaboratively train a machine learning model without transferring raw …

Semi‐supervised learning (SSL) is a common approach to learning predictive models using
not only labeled, but also unlabeled examples. While SSL for the simple tasks of …

With the rapid development of the Internet of Medical Things (IoMT) and the increasing
concern for personal health, sharing Electronic Medical Record (EMR) data is widely …

The increasing popularity of various intelligent sensor and mobile communication
technologies has enabled quick health physique sensing, monitoring, collection and …

Cloud computing technology offers flexible and expedient services that carry a variety of
profits for both societies as well as individuals. De-duplication techniques were developed to …

Wireless traffic prediction is vital for intelligent cellular network operations, such as load-
aware resource management and predictive control. Traditional centralized training …

Powered by data-driven technologies, precision agriculture offers immense productivity and
sustainability benefits. However, fragmentation across farmlands necessitates distributed …

With the widespread adoption of mobile multimedia devices, the deployment of compute-
intensive inference tasks on edge and resource-constrained devices, particularly in the …

Research has recently grown on multi-agent systems (MAS) and their coordination and
secure cooperative control, for example in the field of edge-cloud computing. MAS offers …