FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings Jean Ogier du Terrail

As we show in Section 2, publicly available datasets for the cross-silo FL setting are scarce. As a consequence, researchers usually rely on heuristics to artificially generate heterogeneous data partitions from a single dataset and assign them to hypothetical clients. Such heuristics might fall short of replicating the complexity of natural heterogeneity found in real-world datasets.