Satellite Network

Satellite networks are evolving rapidly, driven by the need for global connectivity and efficient data processing from diverse sources like Earth observation and IoT devices. Current research focuses on optimizing resource utilization through techniques like federated learning (with variations such as SatFed and algorithms addressing heterogeneous devices), improving data transmission efficiency with semantic communication and graph neural networks, and enhancing security and privacy using differential privacy and deep learning-based intrusion detection. These advancements are crucial for enabling applications ranging from disaster response and precision agriculture to broader AI-driven services in remote areas, significantly impacting both scientific understanding of distributed systems and practical deployment of space-based technologies.