In today's world, the importance of the Green Internet of Things (GIoT) in the transformed
sustainable smart cities cannot be overstated. For a variety of applications, the GIoT may …

Federated learning (FL) is a distributed machine learning approach that protects user data
privacy by training models locally on clients and aggregating them on a parameter server …

Edge computing significantly enhanced the growth of edge-assistant video streaming
applications. However, challenges such as unpredictable wireless conditions, resource …

In recent years, blockchain technology has attracted substantial interest for its capability to
transform supply chain management and finance. This paper employs evolutionary game …

The convergence of Federated learning (FL) and Edge computing (EC) has emerged as an
essential paradigm, particularly within the Industrial Internet of Things (IIoT) to enable the …

The last decade has demonstrated an exponential growth in connected devices, particularly
at the network edge, and this marked tendency still foresees a increase of the number of …

Network security play a critical role in ensuring the robustness and integrity of network
systems. We propose a novel method based on multimodal transformation in edge …

The space-air–ground integrated network (SAGIN) integrates satellites, unmanned aerial
vehicles (UAVs), and terrestrial remote clouds to provide seamless network access and high …

Cloud-edge collaboration Architecture (CEA) enables the co-training of AI models by cloud
servers and edge servers, offering a promising solution for large-scale model training. An …

Preserving data privacy in data-driven modeling for the Industrial Internet of Things (IIoT)
has become critically important due to the susceptibility of communication data from …