“The research team explored the problem of heterogeneous device federated remote sensing scene classification and established a neural architecture search method based on path and data collaborative sampling. The neural network architecture search training paradigm of "one training, multiple uses" was adopted to evolve a lightweight and high-performance exclusive network architecture for resource constrained terminals, effectively improving the deployment feasibility and overall performance of federated remote sensing systems.”