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Sep, 2021
LEO卫星星座中的地面辅助联邦学习
Ground-Assisted Federated Learning in LEO Satellite Constellations
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Nasrin Razmi, Bho Matthiesen, Armin Dekorsy, Petar Popovski
TL;DR
本文提出了基于联邦学习(FL)的新算法,包括一种基于FedAvg的新型异步FL过程,对MNIST和CIFAR-10数据集进行的广泛数字评估表明,该方法具有快速收敛速度和优异的渐进测试准确性,可用于解决卫星成像的推理等问题。
Abstract
In
low earth orbit
(LEO)
mega constellations
, there are relevant use cases, such as inference based on
satellite imaging
, in which a large
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