{"id":"https://openalex.org/W7130547456","doi":"https://doi.org/10.1109/fllm67465.2025.11391178","title":"Game-theoretic distributed learning of generative models for heterogeneous data collections","display_name":"Game-theoretic distributed learning of generative models for heterogeneous data collections","publication_year":2025,"publication_date":"2025-11-25","ids":{"openalex":"https://openalex.org/W7130547456","doi":"https://doi.org/10.1109/fllm67465.2025.11391178"},"language":null,"primary_location":{"id":"doi:10.1109/fllm67465.2025.11391178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fllm67465.2025.11391178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 3rd International Conference on Foundation and Large Language Models (FLLM)","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/A5105528886","display_name":"Dmitrij Schlesinger","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165059","display_name":"Hochschule f\u00fcr Technik und Wirtschaft Dresden \u2013 University of Applied Sciences","ror":"https://ror.org/05q5pk319","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210165059"]},{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dmitrij Schlesinger","raw_affiliation_strings":["Dresden University of Technology,Faculty of Computer Science,Dresden,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dresden University of Technology,Faculty of Computer Science,Dresden,Germany","institution_ids":["https://openalex.org/I4210165059","https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077472871","display_name":"Boris Flach","orcid":"https://orcid.org/0000-0002-4988-7541"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Boris Flach","raw_affiliation_strings":["Czech Technical University in Prague,Department of Cybernetics,Prague,Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Czech Technical University in Prague,Department of Cybernetics,Prague,Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.64930052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"153","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.7128999829292297,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.7128999829292297,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.05050000175833702,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.01979999989271164,"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":0.5878999829292297},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5752999782562256},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4629000127315521},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41819998621940613},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.3407999873161316},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.323199987411499}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7387999892234802},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5878999829292297},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5752999782562256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.510200023651123},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48420000076293945},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4629000127315521},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41819998621940613},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.3407999873161316},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.323199987411499},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2809000015258789},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.274399995803833},{"id":"https://openalex.org/C2778079155","wikidata":"https://www.wikidata.org/wiki/Q288500","display_name":"Potential game","level":3,"score":0.2574999928474426},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.25429999828338623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fllm67465.2025.11391178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fllm67465.2025.11391178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 3rd International Conference on Foundation and Large Language Models (FLLM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W28766783","https://openalex.org/W1972221945","https://openalex.org/W4290945297","https://openalex.org/W4312933868","https://openalex.org/W4385615086"],"related_works":[],"abstract_inverted_index":{"One":[0],"of":[1,12,21,25,39,44,108,120,127,152],"the":[2,10,22,37,58,76,85,106,109,118,125,140,150],"main":[3],"challenges":[4],"in":[5],"distributed":[6],"learning":[7,107,142],"arises":[8],"from":[9,64,117],"difficulty":[11],"handling":[13],"heterogeneous":[14,99],"local":[15,77,89,110,135],"models":[16,49,78,90,111,136],"and":[17,66,137,163],"data.":[18],"In":[19],"light":[20],"recent":[23],"success":[24],"generative":[26],"models,":[27],"we":[28,82],"propose":[29],"to":[30,60,67,71,97,145],"meet":[31],"this":[32,146],"challenge":[33],"by":[34,87],"building":[35],"on":[36,91,155],"idea":[38],"exchanging":[40],"synthetic":[41],"data":[42,65,69,100],"instead":[43],"sharing":[45],"model":[46],"parameters.":[47,73],"Local":[48],"can":[50,83],"then":[51],"be":[52],"treated":[53],"as":[54,112],"\"black":[55],"boxes\"":[56],"with":[57,101],"ability":[59],"learn":[61],"their":[62],"parameters":[63],"generate":[68],"according":[70],"these":[72],"Moreover,":[74],"if":[75],"admit":[79],"semi-supervised":[80],"learning,":[81],"extend":[84],"approach":[86,143,154],"enabling":[88],"different":[92,102],"probability":[93],"spaces.":[94],"This":[95],"allows":[96],"handle":[98],"modalities.":[103],"We":[104,123,148],"formulate":[105],"a":[113,128],"cooperative":[114],"game":[115,121],"starting":[116],"principles":[119],"theory.":[122],"prove":[124],"existence":[126],"unique":[129],"Nash":[130],"equilibrium":[131],"for":[132,160],"exponential":[133],"family":[134],"show":[138],"that":[139],"proposed":[141],"converges":[144],"equilibrium.":[147],"demonstrate":[149],"advantages":[151],"our":[153],"standard":[156],"benchmark":[157],"vision":[158],"datasets":[159],"image":[161],"classification":[162],"conditional":[164],"generation.":[165]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-20T00:00:00"}
