Orbital collaborative learning in 6G space-air-ground integrated networks
Currently, 6G is being proposed as a new next-generation communication architecture. The
inclusion of satellite communication networks makes it possible to genuinely space-air …
inclusion of satellite communication networks makes it possible to genuinely space-air …
Fedsn: A general federated learning framework over leo satellite networks
Recently, a large number of Low Earth Orbit (LEO) satellites have been launched and
deployed successfully in space by commercial companies, such as SpaceX. Due to …
deployed successfully in space by commercial companies, such as SpaceX. Due to …
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 …
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 …
On-board federated learning for satellite clusters with inter-satellite links
The emergence of mega-constellations of interconnected satellites has a major impact on
the integration of cellular wireless and non-terrestrial networks, while simultaneously …
the integration of cellular wireless and non-terrestrial networks, while simultaneously …
AsyncFLEO: Asynchronous federated learning for LEO satellite constellations with high-altitude platforms
M Elmahallawy, T Luo - … Conference on Big Data (Big Data), 2022 - ieeexplore.ieee.org
Low Earth Orbit (LEO) constellations, each comprising a large number of satellites, have
become a new source of big data" from the sky". Downloading such data to a ground station …
become a new source of big data" from the sky". Downloading such data to a ground station …
Hybrid centralized and distributed learning for MEC-equipped satellite 6G networks
TK Rodrigues, N Kato - IEEE Journal on Selected Areas in …, 2023 - ieeexplore.ieee.org
For future networks in the 6G, it will be important to maintain a ubiquitous connection, bring
processing heavy applications to remote areas, and analyze big amounts of data to …
processing heavy applications to remote areas, and analyze big amounts of data to …
Fedspace: An efficient federated learning framework at satellites and ground stations
Large-scale deployments of low Earth orbit (LEO) satellites collect massive amount of Earth
imageries and sensor data, which can empower machine learning (ML) to address global …
imageries and sensor data, which can empower machine learning (ML) to address global …
Optimizing federated learning in LEO satellite constellations via intra-plane model propagation and sink satellite scheduling
M Elmahallawy, T Luo - ICC 2023-IEEE International …, 2023 - ieeexplore.ieee.org
The advances in satellite technology developments have recently seen a large number of
small satellites being launched into space on Low Earth orbit (LEO) to collect massive data …
small satellites being launched into space on Low Earth orbit (LEO) to collect massive data …
Fedfusion: Manifold driven federated learning for multi-satellite and multi-modality fusion
Multi-Satellite, multi-modality in-orbit fusion is a challenging task as it explores the fusion
representation of complex high-dimensional data under limited computational resources …
representation of complex high-dimensional data under limited computational resources …