Low Earth Orbit Satellite

Low Earth Orbit (LEO) satellites are increasingly crucial for communication and data collection, driving research into efficient resource management and robust network architectures. Current research focuses on optimizing federated learning across LEO constellations, employing techniques like multi-agent reinforcement learning and novel model aggregation strategies to overcome challenges posed by limited bandwidth, heterogeneous devices, and satellite mobility. These advancements aim to improve data processing efficiency, enhance network throughput and reduce latency, impacting various applications from remote sensing to global communication networks.