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cs.LG2024
Rapid Distributed Fine-tuning of a Segmentation Model Onboard Satellites
Meghan Plumridge, Rasmus Maråk, Chiara Ceccobello +4
Segmentation of Earth observation (EO) satellite data is critical for natural hazard analysis and disaster response. However, processing EO data at ground stations introduces delay…
cs.LG2024
Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellations
Grace Kim, Luca Powell, Filip Svoboda +1
Space has emerged as an exciting new application area for machine learning, with several missions equipping deep learning capabilities on-board spacecraft. Pre-processing satellite…