Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...
Abstract: The significant increase in the amount of satellite data in recent years along with the increase in computing resources has opened up new possibilities for Earth observation (EO) data ...
A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
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