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FedSN: A Novel Federated Learning Framework over LEO Satellite Networks
March 28, 2024, 4:43 a.m. | Zheng Lin, Zhe Chen, Zihan Fang, Xianhao Chen, Xiong Wang, Yue Gao
cs.LG updates on arXiv.org arxiv.org
Abstract: 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 multimodal sensors equipped by the LEO satellites, they serve not only for communication but also for various machine learning applications, such as space modulation recognition, remote sensing image classification, etc. However, the ground station (GS) may be incapable of downloading such a large volume of raw sensing data for …
abstract arxiv commercial communication companies cs.ai cs.dc cs.lg earth federated learning framework low low earth orbit machine machine learning multimodal networks novel satellite satellites sensors serve space spacex type
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