117 citations · 296 across the 11 of their papers we have counts for
4 papers · 1 filter
Sparse Incremental Aggregation in Satellite Federated Learning
Nasrin Razmi, Sourav Mukherjee, Bho Matthiesen +2
This paper studies Federated Learning (FL) in low Earth orbit (LEO) satellite constellations, where satellites are connected via intra-orbit inter-satellite links (ISLs) to their n…
Scheduling for Ground-Assisted Federated Learning in LEO Satellite Constellations
Nasrin Razmi, Bho Matthiesen, Armin Dekorsy +1
Distributed training of machine learning models directly on satellites in low Earth orbit (LEO) is considered. Based on a federated learning (FL) algorithm specifically targeted at…
On-Board Federated Learning for Dense LEO Constellations
Nasrin Razmi, Bho Matthiesen, Armin Dekorsy +1
Mega-constellations of small-size Low Earth Orbit (LEO) satellites are currently planned and deployed by various private and public entities. While global connectivity is the main…
Ground-Assisted Federated Learning in LEO Satellite Constellations
Nasrin Razmi, Bho Matthiesen, Armin Dekorsy +1
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 trai…