{"id":"https://openalex.org/W4399451254","doi":"https://doi.org/10.1109/access.2024.3410026","title":"FedArtML: A Tool to Facilitate the Generation of Non-IID Datasets in a Controlled Way to Support Federated Learning Research","display_name":"FedArtML: A Tool to Facilitate the Generation of Non-IID Datasets in a Controlled Way to Support Federated Learning Research","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399451254","doi":"https://doi.org/10.1109/access.2024.3410026"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3410026","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3410026","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3410026","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037239752","display_name":"Daniel Mauricio Jimenez Gutierrez","orcid":"https://orcid.org/0000-0002-0305-814X"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Daniel Mauricio Jimenez Gutierrez","raw_affiliation_strings":["Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy"],"raw_orcid":"https://orcid.org/0000-0002-0305-814X","affiliations":[{"raw_affiliation_string":"Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000949710","display_name":"Aris Anagnostopoulos","orcid":"https://orcid.org/0000-0001-9183-7911"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Aris Anagnostopoulos","raw_affiliation_strings":["Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy"],"raw_orcid":"https://orcid.org/0000-0001-9183-7911","affiliations":[{"raw_affiliation_string":"Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038813420","display_name":"Ioannis Chatzigiannakis","orcid":"https://orcid.org/0000-0001-8955-9270"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ioannis Chatzigiannakis","raw_affiliation_strings":["Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070969466","display_name":"Andrea Vitaletti","orcid":"https://orcid.org/0000-0003-1074-5068"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Vitaletti","raw_affiliation_strings":["Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy"],"raw_orcid":"https://orcid.org/0000-0003-1074-5068","affiliations":[{"raw_affiliation_string":"Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037239752"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.7799,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.96514434,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"81004","last_page":"81016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.8012999892234802,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.8012999892234802,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.801267147064209},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35515129566192627}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.801267147064209},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35515129566192627}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2024.3410026","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3410026","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1711428","is_oa":true,"landing_page_url":"https://hdl.handle.net/11573/1711428","pdf_url":"https://iris.uniroma1.it/bitstream/11573/1711428/3/Gutierrez_FedArtML_2024.pdf","source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:d91a0a5ca94447cc824b2ead1bcec594","is_oa":true,"landing_page_url":"https://doaj.org/article/d91a0a5ca94447cc824b2ead1bcec594","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 81004-81016 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3410026","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3410026","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1109244088","display_name":null,"funder_award_id":"788893","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2702590088","display_name":null,"funder_award_id":"PE0000013","funder_id":"https://openalex.org/F4320331528","funder_display_name":"Ministero dell'Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G29840918","display_name":null,"funder_award_id":"PE0000013-FAIR","funder_id":"https://openalex.org/F4320331528","funder_display_name":"Ministero dell'Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G4317964049","display_name":null,"funder_award_id":"IR0000013","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4917700297","display_name":null,"funder_award_id":"PE0000014","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8274803949","display_name":null,"funder_award_id":"871042","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8757303545","display_name":null,"funder_award_id":"H2020RIA","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320331528","display_name":"Ministero dell'Universit\u00e0 e della Ricerca","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W154144879","https://openalex.org/W190008395","https://openalex.org/W2466965306","https://openalex.org/W2641342067","https://openalex.org/W2795807997","https://openalex.org/W3013966144","https://openalex.org/W3038004684","https://openalex.org/W3095319910","https://openalex.org/W3098699929","https://openalex.org/W3111870364","https://openalex.org/W3184328775","https://openalex.org/W3196371845","https://openalex.org/W3209696639","https://openalex.org/W4206415938","https://openalex.org/W4229029907","https://openalex.org/W4287332481","https://openalex.org/W4309080560","https://openalex.org/W4319311838","https://openalex.org/W4321760789","https://openalex.org/W4323256870","https://openalex.org/W4323519261","https://openalex.org/W4324304837","https://openalex.org/W4362602778","https://openalex.org/W4367721889","https://openalex.org/W4372348664","https://openalex.org/W4386156801","https://openalex.org/W4386453702","https://openalex.org/W4387105517","https://openalex.org/W4387158228","https://openalex.org/W4388145468","https://openalex.org/W4388819968","https://openalex.org/W4390041933","https://openalex.org/W4390224529","https://openalex.org/W4390871733","https://openalex.org/W4391069687","https://openalex.org/W4391640782","https://openalex.org/W4391806964","https://openalex.org/W4392544406","https://openalex.org/W4392921625","https://openalex.org/W4395042694","https://openalex.org/W6607826182","https://openalex.org/W6728757088","https://openalex.org/W6768537144","https://openalex.org/W6780224944","https://openalex.org/W6787299043","https://openalex.org/W6799114292","https://openalex.org/W6803730191","https://openalex.org/W6849737314","https://openalex.org/W6857043423","https://openalex.org/W6860041859"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Federated":[0],"Learning":[1,8],"(FL)":[2],"enables":[3],"collaborative":[4],"training":[5,202],"of":[6,19,54,110,155,169,176],"Machine":[7],"(ML)":[9],"models":[10],"across":[11,125],"decentralized":[12],"clients":[13],"while":[14],"preserving":[15],"data":[16,29,45,56,84],"privacy.":[17],"One":[18],"the":[20,27,51,73,77,89,95,100,108,122,159,167,174,181,240],"challenges":[21],"that":[22,193],"FL":[23],"faces":[24],"is":[25,30,59],"when":[26],"clients\u2019":[28],"not":[31,60],"independent":[32],"and":[33,79,91,94,103,146,152,162,173,203],"identically":[34],"distributed":[35],"(non-IID).":[36],"It":[37,141],"is,":[38],"therefore,":[39],"crucial":[40],"to":[41,50,62],"quantify":[42],"how":[43],"non-IID":[44],"impacts":[46],"performance.":[47],"However,":[48],"due":[49],"limited":[52],"number":[53],"federated":[55,197,228],"available,":[57],"it":[58],"easy":[61],"carry":[63],"out":[64],"real-world":[65,231],"simulations.":[66],"In":[67],"this":[68],"work,":[69],"we":[70,114,178,224],"propose":[71],"for":[72,82,106,199],"first":[74],"time":[75],"1)":[76],"Hist-Dirichlet-based":[78],"Min-Size-Dirichlet":[80],"methods":[81,119,172],"partitioning":[83,118],"into":[85],"multiple":[86],"nodes":[87],"using":[88,158],"features":[90],"quantity":[92,163],"distribution":[93,124,207],"Dirichlet":[96],"distribution.":[97],"We":[98],"use":[99],"2)":[101],"Jensen-Shannon":[102],"Hellinger":[104],"distances":[105],"quantifying":[107],"degree":[109],"IID":[111],"data.":[112,189],"Moreover,":[113],"implemented":[115],"3)":[116],"state-of-the-art":[117],"based":[120],"on":[121,139,144],"labels\u2019":[123],"clients.":[126],"All":[127],"our":[128,170,194,226],"proposals":[129],"are":[130],"open-source":[131],"in":[132,180],"a":[133,150,235],"library":[134],"called":[135],"FedArtML,":[136,177],"publicly":[137],"available":[138],"PyPI.":[140],"facilitates":[142],"research":[143],"cross-silo":[145],"cross-device":[147],"FL,":[148],"allowing":[149],"systematic":[151],"controlled":[153],"partition":[154],"centralized":[156],"datasets":[157,198,229],"label,":[160],"features,":[161],"skewness.":[164],"To":[165],"demonstrate":[166,192],"value":[168],"proposed":[171],"robustness":[175],"experimented":[179],"ECG":[182],"arrhythmia":[183],"detection":[184],"field":[185],"with":[186],"Physionet":[187],"2020":[188],"Our":[190,209],"results":[191],"tool":[195],"generates":[196],"multi-client":[200],"model":[201],"accurately":[204],"measures":[205],"client":[206],"heterogeneity.":[208],"approach":[210],"achieves":[211],"48%":[212],"higher":[213],"non-IID-ness":[214],"than":[215],"existing":[216],"feature":[217],"skew":[218],"methods,":[219],"providing":[220],"more":[221],"granularity.":[222],"Furthermore,":[223],"validate":[225],"simulated":[227],"against":[230],"data,":[232],"revealing":[233],"only":[234],"2%":[236],"F1-Score":[237],"difference,":[238],"affirming":[239],"method\u2019s":[241],"real-life":[242],"applicability.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-12T08:28:47.272897","created_date":"2024-06-08T00:00:00"}