{"url":"/dataset/femnist","name":"FEMNIST","full_name":"Federated Extended MNIST","description_markdown":"See paper:\r\n\r\nCaldas, Sebastian, et al. \"Leaf: A benchmark for federated settings.\" arXiv preprint arXiv:1812.01097 (2018).","description_withheld":null,"homepage":"","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"},{"name":"Personalized Federated Learning","url":"/task/personalized-federated-learning","datasets_with_task":"/datasets/task/personalized-federated-learning"}],"languages":[],"variants":["FEMNIST"],"data_loaders":[{"repo":"https://github.com/Xiao-Chenguang/HDF5-FEMNIST","url":"https://github.com/Xiao-Chenguang/HDF5-FEMNIST","frameworks":["pytorch"]}],"num_papers_in_archive":16,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/personalized-federated-learning-on-femnist","task":"Personalized Federated Learning","dataset_variant":"FEMNIST","rows":2,"metrics":["Acc@1","Acc@5"],"first_row_in_archive_order":{"model":"SuPerFed-MM","paper":"/paper/subspace-learning-for-personalized-federated","metrics":{"Acc@1":"85.20","Acc@5":"99.16"},"code_links":[{"title":"vaseline555/superfed","url":"https://github.com/vaseline555/superfed"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/image-classification-on-femnist","task":"Image Classification","dataset_variant":"FEMNIST","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"pFedBreD_ns_mg","paper":"/paper/personalized-federated-learning-with-hidden","metrics":{"Accuracy":"70.34"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/personalized-federated-learning-with-hidden","title":"Personalized Federated Learning with Hidden Information on Personalized Prior","date":"2022-11-19","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/subspace-learning-for-personalized-federated","title":"Connecting Low-Loss Subspace for Personalized Federated Learning","date":"2021-09-16","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":2,"samples_ran":0,"samples_unverified":2,"pointer_only_for_licence":2,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":1,"samples_harvested":2,"samples_ran":0,"samples_unverified":2,"pointer_only_for_licence":2,"papers_with_no_sample_that_ran":1,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}