TY - JOUR
T1 - Ground-Assisted Federated Learning in LEO Satellite Constellations
AU - Razmi, Nasrin
AU - Matthiesen, Bho
AU - Dekorsy, Armin
AU - Popovski, Petar
PY - 2022/4/1
Y1 - 2022/4/1
N2 - 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 train a machine learning model without sharing their local datasets. To address this problem, we propose a new set of algorithms based on Federated learning (FL), including a novel asynchronous FL procedure based on FedAvg that exhibits better robustness against heterogeneous scenarios than the state-of-the-art. Extensive numerical evaluations based on MNIST and CIFAR-10 datasets highlight the fast convergence speed and excellent asymptotic test accuracy of the proposed method.
AB - 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 train a machine learning model without sharing their local datasets. To address this problem, we propose a new set of algorithms based on Federated learning (FL), including a novel asynchronous FL procedure based on FedAvg that exhibits better robustness against heterogeneous scenarios than the state-of-the-art. Extensive numerical evaluations based on MNIST and CIFAR-10 datasets highlight the fast convergence speed and excellent asymptotic test accuracy of the proposed method.
KW - Collaborative work
KW - Computational modeling
KW - Delays
KW - Federated Optimization.
KW - Low Earth Orbit (LEO)
KW - Low earth orbit satellites
KW - Satellite communication
KW - Satellites
KW - Task analysis
KW - Training
UR - http://www.scopus.com/inward/record.url?scp=85122886074&partnerID=8YFLogxK
U2 - 10.1109/LWC.2022.3141120
DO - 10.1109/LWC.2022.3141120
M3 - Journal article
SN - 2162-2337
VL - 11
SP - 717
EP - 721
JO - I E E E Wireless Communications Letters
JF - I E E E Wireless Communications Letters
IS - 4
ER -