{"url":"/dataset/vrem-fl-datasets","name":"VREM-FL datasets","full_name":null,"description_markdown":"This dataset collection includes three files used for the experiments.\r\nEach file contains 6 columns: {timestep, vehicle ID, x coordinate in the map, y coordinate in the map, real bitrate, estimated bitrate}. The datasets, obtained from REMs with Gaussian estimation and real (https://ieee-dataport.org/open-access/crawdad-romataxi) or simulated (https://eclipse.dev/sumo/) vehicular mobility, are used in the original paper for optimizing the task of federated learning (client scheduling and resource allocation).","description_withheld":null,"homepage":"https://researchdata.cab.unipd.it/1430/","introduced_date":"2024-11-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/vrem-fl-mobility-aware-computation-scheduling","title":"VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning","first_author":"Luca Ballotta","url":null},"license":null,"modalities":[{"name":"Time series","url":"/datasets/modality/time-series"},{"name":"Tables","url":"/datasets/modality/tables"}],"tasks":[],"languages":[],"variants":["VREM-FL datasets"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"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."}