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 …
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 …
Ground-assisted federated learning in LEO satellite constellations
In Low Earth Orbit (LEO) mega constellations, there are relevant use cases, such as
inference based on satellite imaging, in which a large number of satellites collaboratively …
inference based on satellite imaging, in which a large number of satellites collaboratively …
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 …
One-shot federated learning for LEO constellations that reduces convergence time from days to 90 minutes
M Elmahallawy, T Luo - 2023 24th IEEE International …, 2023 - ieeexplore.ieee.org
A Low Earth orbit (LEO) satellite constellation consists of a large number of small satellites
traveling in space with high mobility and collecting vast amounts of mobility data such as …
traveling in space with high mobility and collecting vast amounts of mobility data such as …
Cooperative federated learning over ground-to-satellite integrated networks: Joint local computation and data offloading
While network coverage maps continue to expand, many devices located in remote areas
remain unconnected to terrestrial communication infrastructures, preventing them from …
remain unconnected to terrestrial communication infrastructures, preventing them from …
FedHAP: Fast federated learning for LEO constellations using collaborative HAPs
M Elmahallawy, T Luo - 2022 14th International Conference on …, 2022 - ieeexplore.ieee.org
Low Earth Orbit (LEO) satellite constellations have seen a surge in deployment over the past
few years by virtue of their ability to provide broadband Internet access as well as to collect …
few years by virtue of their ability to provide broadband Internet access as well as to collect …
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 …