Communication-Efficient Federated Learning for LEO Satellite Networks Integrated with HAPs Using Hybrid NOMA-OFDM

arXiv:2401.00685v2 Announce Type: replace
Abstract: Space AI has become increasingly important and sometimes even necessary for government, businesses, and society. An active research topic under this mission is integrating federated learning (FL) with satellite communications (SatCom) so that numerous low Earth orbit (LEO) satellites can collaboratively train a machine learning model. However, the special communication environment of SatCom leads to a very slow FL training process up to days and weeks. This paper proposes NomaFedHAP, a novel FL-SatCom approach tailored …

abstract arxiv become businesses communication communications cs.ai cs.dc cs.lg earth federated learning government hybrid low low earth orbit mission networks research satellite satellites society space train type