{"id":"https://openalex.org/W4416252326","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228169","title":"Driving Cooperation in Federated Learning via Evolutionary Game Theory","display_name":"Driving Cooperation in Federated Learning via Evolutionary Game Theory","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416252326","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228169"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023616873","display_name":"Manuel R\u00f6der","orcid":"https://orcid.org/0009-0003-4907-3999"},"institutions":[{"id":"https://openalex.org/I3130074995","display_name":"Technical University of Applied Sciences W\u00fcrzburg-Schweinfurt","ror":"https://ror.org/01k5h5v15","country_code":"DE","type":"education","lineage":["https://openalex.org/I3130074995"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Manuel R\u00f6der","raw_affiliation_strings":["Technical Univ. of Appl. Sciences W&#x00FC;rzburg-Schweinfurt,Faculty of Computer Science and Business Information Systems,W&#x00FC;rzburg,Germany"],"affiliations":[{"raw_affiliation_string":"Technical Univ. of Appl. Sciences W&#x00FC;rzburg-Schweinfurt,Faculty of Computer Science and Business Information Systems,W&#x00FC;rzburg,Germany","institution_ids":["https://openalex.org/I3130074995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117166525","display_name":"Fabian Geiger","orcid":null},"institutions":[{"id":"https://openalex.org/I3130074995","display_name":"Technical University of Applied Sciences W\u00fcrzburg-Schweinfurt","ror":"https://ror.org/01k5h5v15","country_code":"DE","type":"education","lineage":["https://openalex.org/I3130074995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fabian Geiger","raw_affiliation_strings":["Technical Univ. of Appl. Sciences W&#x00FC;rzburg-Schweinfurt,Faculty of Computer Science and Business Information Systems,W&#x00FC;rzburg,Germany"],"affiliations":[{"raw_affiliation_string":"Technical Univ. of Appl. Sciences W&#x00FC;rzburg-Schweinfurt,Faculty of Computer Science and Business Information Systems,W&#x00FC;rzburg,Germany","institution_ids":["https://openalex.org/I3130074995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004196006","display_name":"Frank-Michael Schleif","orcid":"https://orcid.org/0000-0002-7539-1283"},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank-Michael Schleif","raw_affiliation_strings":["University of W&#x00FC;rzburg (JMU),Faculty of Business Management and Economics,W&#x00FC;rzburg,Germany"],"affiliations":[{"raw_affiliation_string":"University of W&#x00FC;rzburg (JMU),Faculty of Business Management and Economics,W&#x00FC;rzburg,Germany","institution_ids":["https://openalex.org/I25974101"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023616873"],"corresponding_institution_ids":["https://openalex.org/I3130074995"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1833523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.23340000212192535,"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":0.23340000212192535,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.11100000143051147,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.04690000042319298,"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/benchmark","display_name":"Benchmark (surveying)","score":0.566100001335144},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.550000011920929},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5217000246047974},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5187000036239624},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.5033000111579895},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.4661000072956085},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.43790000677108765},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.38019999861717224},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.37940001487731934}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7519000172615051},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.566100001335144},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.550000011920929},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5217000246047974},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5187000036239624},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.5033000111579895},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.4661000072956085},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.43790000677108765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4072999954223633},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.38659998774528503},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.38019999861717224},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.37940001487731934},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.37139999866485596},{"id":"https://openalex.org/C20249471","wikidata":"https://www.wikidata.org/wiki/Q2298789","display_name":"Evolutionary game theory","level":3,"score":0.3711000084877014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3386000096797943},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.3346000015735626},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C153180980","wikidata":"https://www.wikidata.org/wiki/Q19776675","display_name":"Commit","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.27619999647140503},{"id":"https://openalex.org/C138020889","wikidata":"https://www.wikidata.org/wiki/Q2349659","display_name":"Collaborative learning","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1976450472","https://openalex.org/W2112796928","https://openalex.org/W2339132207","https://openalex.org/W3112877893","https://openalex.org/W3135472452","https://openalex.org/W3176778145","https://openalex.org/W3196371845","https://openalex.org/W4251525635","https://openalex.org/W4323305377","https://openalex.org/W4362654318","https://openalex.org/W4385270518","https://openalex.org/W4387886163","https://openalex.org/W4388040634","https://openalex.org/W4391889609","https://openalex.org/W4392305719","https://openalex.org/W4396723604","https://openalex.org/W4402352810","https://openalex.org/W4409481092"],"related_works":[],"abstract_inverted_index":{"We":[0,102],"introduce":[1],"an":[2],"enhanced":[3],"formulation":[4],"of":[5,116,130],"FedT4T-Pro,":[6],"a":[7,70,76,91,106],"Federated":[8,107],"Learning":[9,108],"framework":[10,47],"designed":[11],"to":[12,50,69,95,105],"systematically":[13],"assess":[14],"utility-driven":[15],"client":[16,39,81],"strategies":[17,123],"within":[18],"resource-constrained":[19],"environments.":[20],"To":[21],"address":[22],"key":[23],"challenges":[24],"in":[25,146],"practical":[26],"distributed":[27],"learning":[28,72],"systems,":[29],"such":[30],"as":[31,90],"resource":[32,100,132],"limitations":[33],"and":[34,59,66,99,112],"non-cooperative":[35],"behaviors,":[36],"we":[37,135],"model":[38],"interactions":[40,58],"using":[41],"the":[42,114,128,139],"Iterated":[43],"Prisoner\u2019s":[44],"Dilemma.":[45],"Our":[46],"empowers":[48],"clients":[49,119],"refine":[51],"their":[52],"decision":[53],"rules":[54],"based":[55],"on":[56],"past":[57],"available":[60],"resources,":[61],"optimizing":[62],"both":[63],"individual":[64],"utility":[65],"overall":[67],"contributions":[68],"global":[71],"objective.":[73],"In":[74],"addition,":[75],"novel":[77],"sampling":[78,141],"algorithm":[79,142],"for":[80],"selection,":[82],"drawing":[83],"inspiration":[84],"from":[85,124],"evolutionary":[86],"biology,":[87],"is":[88],"proposed":[89,140],"natural":[92],"incentive":[93],"mechanism":[94],"encourage":[96],"consistent":[97],"cooperation":[98,117],"contributions.":[101],"apply":[103],"FedT4T-Pro":[104],"benchmark":[109],"classification":[110],"task":[111],"explore":[113],"dynamics":[115],"between":[118],"driven":[120],"by":[121],"common":[122],"Cooperation":[125],"theory":[126],"under":[127],"impact":[129],"varying":[131],"availability.":[133],"Furthermore,":[134],"experimentally":[136],"show":[137],"that":[138],"fosters":[143],"collaborative":[144],"behavior":[145],"FL":[147],"training.":[148]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-14T00:00:00"}
