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Abstract: Accurately estimating the number of objects across different categories is crucial in remote sensing images for applications ranging from urban planning and environmental monitoring to ...

Abstract: Federated learning is an emerging machine learning paradigm that effectively alleviates the data silo problem by distributing the model training process to multiple data holders. However, ...