{"id":"https://openalex.org/W4402012559","doi":"https://doi.org/10.1007/s41060-024-00625-7","title":"Leveraging local data sampling strategies to improve federated learning","display_name":"Leveraging local data sampling strategies to improve federated learning","publication_year":2024,"publication_date":"2024-08-29","ids":{"openalex":"https://openalex.org/W4402012559","doi":"https://doi.org/10.1007/s41060-024-00625-7"},"language":"en","primary_location":{"id":"doi:10.1007/s41060-024-00625-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-024-00625-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41060-024-00625-7.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s41060-024-00625-7.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060114867","display_name":"Christoph D\u00fcsing","orcid":"https://orcid.org/0000-0002-7817-9448"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christoph D\u00fcsing","raw_affiliation_strings":["CITEC, Bielefeld University, Inspiration 1, 33619, Bielefeld, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CITEC, Bielefeld University, Inspiration 1, 33619, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056086147","display_name":"Philipp Cimiano","orcid":"https://orcid.org/0000-0002-4771-441X"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Philipp Cimiano","raw_affiliation_strings":["CITEC, Bielefeld University, Inspiration 1, 33619, Bielefeld, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CITEC, Bielefeld University, Inspiration 1, 33619, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057832550","display_name":"Benjamin Paa\u00dfen","orcid":"https://orcid.org/0000-0002-3899-2450"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Benjamin Paa\u00dfen","raw_affiliation_strings":["CITEC, Bielefeld University, Inspiration 1, 33619, Bielefeld, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CITEC, Bielefeld University, Inspiration 1, 33619, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5060114867"],"corresponding_institution_ids":["https://openalex.org/I20121455"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.486,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71274195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"20","issue":"3","first_page":"2659","last_page":"2678"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9965000152587891,"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":0.9965000152587891,"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"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.982200026512146,"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"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9537000060081482,"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":0.6639690399169922},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5751716494560242},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.41745561361312866},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40703922510147095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2315782606601715},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19452765583992004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6639690399169922},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5751716494560242},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.41745561361312866},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40703922510147095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2315782606601715},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19452765583992004},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41060-024-00625-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-024-00625-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41060-024-00625-7.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"},{"id":"pmh:oai:pub.uni-bielefeld.de:2991794","is_oa":false,"landing_page_url":"https://pub.uni-bielefeld.de/record/2991794","pdf_url":null,"source":{"id":"https://openalex.org/S4306401671","display_name":"PUB \u2013 Publications at Bielefeld University (Bielefeld University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20121455","host_organization_name":"Bielefeld University","host_organization_lineage":["https://openalex.org/I20121455"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"http://purl.org/coar/resource_type/c_6501"}],"best_oa_location":{"id":"doi:10.1007/s41060-024-00625-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-024-00625-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41060-024-00625-7.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G5781033457","display_name":null,"funder_award_id":"NW21-059A SAIL","funder_id":"https://openalex.org/F4320328599","funder_display_name":"Ministerium f\u00fcr Kultur und Wissenschaft des Landes Nordrhein-Westfalen"}],"funders":[{"id":"https://openalex.org/F4320323389","display_name":"Universit\u00e4t Bielefeld","ror":"https://ror.org/02hpadn98"},{"id":"https://openalex.org/F4320328599","display_name":"Ministerium f\u00fcr Kultur und Wissenschaft des Landes Nordrhein-Westfalen","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402012559.pdf"},"referenced_works_count":75,"referenced_works":["https://openalex.org/W1941659294","https://openalex.org/W1993220166","https://openalex.org/W2007339694","https://openalex.org/W2058732827","https://openalex.org/W2104803737","https://openalex.org/W2117190680","https://openalex.org/W2118023920","https://openalex.org/W2119191234","https://openalex.org/W2148143831","https://openalex.org/W2511002675","https://openalex.org/W2734358244","https://openalex.org/W2767079719","https://openalex.org/W2912213068","https://openalex.org/W2947064482","https://openalex.org/W2949734902","https://openalex.org/W2954124071","https://openalex.org/W2963113370","https://openalex.org/W2963351448","https://openalex.org/W2963691377","https://openalex.org/W2964050365","https://openalex.org/W2970606380","https://openalex.org/W2979574122","https://openalex.org/W2982853004","https://openalex.org/W2984242138","https://openalex.org/W2995022099","https://openalex.org/W3001989995","https://openalex.org/W3006360344","https://openalex.org/W3045747588","https://openalex.org/W3045889854","https://openalex.org/W3046183292","https://openalex.org/W3047304572","https://openalex.org/W3119381431","https://openalex.org/W3122144602","https://openalex.org/W3130684505","https://openalex.org/W3141518839","https://openalex.org/W3159623990","https://openalex.org/W3168213397","https://openalex.org/W3173969732","https://openalex.org/W3197363474","https://openalex.org/W3197915999","https://openalex.org/W3200318570","https://openalex.org/W3205278400","https://openalex.org/W3209696639","https://openalex.org/W3216699651","https://openalex.org/W4223494531","https://openalex.org/W4226322519","https://openalex.org/W4281557629","https://openalex.org/W4282971512","https://openalex.org/W4285174182","https://openalex.org/W4285200947","https://openalex.org/W4285815152","https://openalex.org/W4287332481","https://openalex.org/W4287434575","https://openalex.org/W4289534065","https://openalex.org/W4289546285","https://openalex.org/W4310491436","https://openalex.org/W4310491466","https://openalex.org/W4312819566","https://openalex.org/W4313433600","https://openalex.org/W4319586346","https://openalex.org/W4320719463","https://openalex.org/W4324268103","https://openalex.org/W4362577641","https://openalex.org/W4365395065","https://openalex.org/W4379280061","https://openalex.org/W4382318061","https://openalex.org/W4382935883","https://openalex.org/W4385270464","https://openalex.org/W4385270518","https://openalex.org/W4385284873","https://openalex.org/W4385286789","https://openalex.org/W4386804492","https://openalex.org/W4388426091","https://openalex.org/W4389740079","https://openalex.org/W4399198399"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4298221930","https://openalex.org/W2390279801","https://openalex.org/W2777914285","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3013363440"],"abstract_inverted_index":{"Abstract":[0],"Federated":[1],"learning":[2,9],"(FL)":[3],"facilitates":[4],"shared":[5,29],"training":[6,166,249],"of":[7,27,38,110,115,153,194,216,230],"machine":[8],"models":[10],"while":[11],"maintaining":[12],"data":[13,19,92,117,131,155,185,212,223],"privacy.":[14],"Unfortunately,":[15],"it":[16],"suffers":[17],"from":[18,209],"imbalance":[20,224],"among":[21],"participating":[22],"clients,":[23],"causing":[24],"the":[25,28,35,100,111,192,228,242],"performance":[26,217,247],"model":[30,162,246],"to":[31,48,61,70,97,120,135,198],"drop.":[32],"To":[33,123],"diminish":[34],"negative":[36],"effects":[37],"unfavourable":[39],"data-specific":[40,140],"properties,":[41],"both":[42],"algorithm-":[43],"and":[44,65,113,148,165,171,178,218,232,248],"data-based":[45,58,87],"approaches":[46,59,88],"seek":[47],"make":[49],"FL":[50,84,98,136,145,173,188,199,205],"more":[51,63],"resilient":[52],"against":[53],"them.":[54],"In":[55],"this":[56,124],"regard,":[57],"prove":[60],"be":[62,71],"versatile":[64],"require":[66],"less":[67],"domain":[68],"knowledge":[69],"applied":[72,96],"efficiently.":[73],"Hence,":[74],"they":[75],"seem":[76],"particularly":[77],"suitable":[78],"for":[79,184],"widespread":[80],"application":[81],"in":[82,99,168,187,214],"various":[83],"environments.":[85,174],"Although":[86],"such":[89],"as":[90],"local":[91,130,154,211],"sampling":[93,118,132,156,186,195,213,239],"have":[94],"been":[95],"past,":[101],"previous":[102],"research":[103],"did":[104],"not":[105],"provide":[106,150],"a":[107,151,181],"systematic":[108],"analysis":[109],"potential":[112],"limitations":[114],"individual":[116],"strategies":[119,133,157],"improve":[121],"FL.":[122],"end,":[125],"we":[126,176],"(1)":[127],"identify":[128,139],"relevant":[129],"applicable":[134],"systems,":[137],"(2)":[138],"properties":[141],"that":[142,189,204],"negatively":[143],"affect":[144],"system":[146],"performance,":[147,163],"(3)":[149],"benchmark":[152],"regarding":[158],"their":[159],"effect":[160],"on":[161],"convergence,":[164],"time":[167],"synthetic,":[169],"real-world,":[170],"large-scale":[172],"Moreover,":[175],"propose":[177],"rigorously":[179],"test":[180],"novel":[182],"method":[183],"locally":[190],"optimizes":[191],"choice":[193],"strategy":[196,240],"prior":[197],"participation.":[200],"Our":[201],"results":[202],"show":[203],"can":[206],"greatly":[207],"benefit":[208],"applying":[210],"terms":[215],"convergence":[219],"rate,":[220],"especially":[221],"when":[222],"is":[225,234],"high":[226],"or":[227],"number":[229],"clients":[231],"samples":[233],"low.":[235],"Furthermore,":[236],"our":[237],"proposed":[238],"offers":[241],"best":[243],"trade-off":[244],"between":[245],"time.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}