A realistic 135-client federated learning benchmark for remote sensing, assembled from eight datasets, with baseline results for ten FL algorithms.
Privacy-preserving vertical federated learning with tensor decomposition for data missing features
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FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing
A realistic 135-client federated learning benchmark for remote sensing, assembled from eight datasets, with baseline results for ten FL algorithms.