Abstract: Federated learning (FL) is a powerful distributed machine learning framework where a server aggregates models trained by different clients without accessing their private data. Hierarchical ...
Abstract: Multilabel classification in remote sensing (RS) images aims to correctly predict multiple object labels in an RS image with the primary challenge of mining correlations among multiple ...