Federated split learning for sequential data in satellite–terrestrial integrated networks
W Jiang, H Han, Y Zhang, J Mu - Information Fusion, 2024 - Elsevier
Satellite–terrestrial integrated networks (STINs) have been proposed for B5G/6G mobile
communication, and the increase in the computation and communication capacities of …
communication, and the increase in the computation and communication capacities of …
Sdn-based federated learning approach for satellite-iot framework to enhance data security and privacy in space communication
The proliferation of IoT devices and integration of machine learning technologies paved the
path towards automation in various sectors such as manufacturing, communication …
path towards automation in various sectors such as manufacturing, communication …
Satellite MEC with federated learning: Architectures, technologies and challenges
Satellite communication has made great progress in recent years since it is characterized by
wide information coverage and can support diverse types of users, which beneficially fulfills …
wide information coverage and can support diverse types of users, which beneficially fulfills …
A joint communication and learning framework for hierarchical split federated learning
In contrast to methods relying on a centralized training, emerging Internet of Things (IoT)
applications can employ federated learning (FL) to train a variety of models for performance …
applications can employ federated learning (FL) to train a variety of models for performance …
FedLEO: An offloading-assisted decentralized federated learning framework for low earth orbit satellite networks
Low Earth orbit (LEO) satellites enable complex Earth observation tasks (eg, remote sensing
and cooperative monitoring) by leveraging large-scale satellite-generated Earth imageries …
and cooperative monitoring) by leveraging large-scale satellite-generated Earth imageries …
Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges and Future Directions
Sixth-generation (6G) networks anticipate intelligently supporting a wide range of smart
services and innovative applications. Such a context urges a heavy usage of Machine …
services and innovative applications. Such a context urges a heavy usage of Machine …
Satellite-based computing networks with federated learning
Driven by the ever increasing penetration and proliferation of data-driven applications, a
new generation of wireless communication, the sixth generation (6G) mobile system …
new generation of wireless communication, the sixth generation (6G) mobile system …
Toward energy-efficient distributed federated learning for 6G networks
The provision of communication services via portable and mobile devices, such as aerial
base stations, is a crucial concept to be realized in 5G/6G networks. Conventionally …
base stations, is a crucial concept to be realized in 5G/6G networks. Conventionally …
Digital twin enabled asynchronous splitfed learning in e-healthcare systems
V Stephanie, I Khalil… - IEEE Journal on Selected …, 2023 - ieeexplore.ieee.org
The advancement of Industrial Internet of Things (IIoT) technology has resulted in the fourth
industrial revolution, or Industry 4.0, enabling industries to enhance productivity. However …
industrial revolution, or Industry 4.0, enabling industries to enhance productivity. However …
[HTML][HTML] Industrial blockchain threshold signatures in federated learning for unified space-air-ground-sea model training
J Chen, Z Wang, G Srivastava, TA Alghamdi… - Journal of Industrial …, 2024 - Elsevier
The space-air-ground-sea three-dimensional (3D) network is a comprehensive
communication network system. This 3D network combines extensive coverage of satellite …
communication network system. This 3D network combines extensive coverage of satellite …