{"id":"https://openalex.org/W4415998983","doi":"https://doi.org/10.1109/infocom59046.2026.11571206","title":"Decentralized Domain Generalization with Style Sharing: Formal Model and Convergence Analysis","display_name":"Decentralized Domain Generalization with Style Sharing: Formal Model and Convergence Analysis","publication_year":2026,"publication_date":"2026-05-18","ids":{"openalex":"https://openalex.org/W4415998983","doi":"https://doi.org/10.1109/infocom59046.2026.11571206"},"language":"en","primary_location":{"id":"doi:10.1109/infocom59046.2026.11571206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom59046.2026.11571206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2026 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2504.06235","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002748637","display_name":"Shahryar Zehtabi","orcid":"https://orcid.org/0000-0002-9306-389X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shahryar Zehtabi","raw_affiliation_strings":["Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101403023","display_name":"Dong-Jun Han","orcid":"https://orcid.org/0000-0003-2970-7336"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong-Jun Han","raw_affiliation_strings":["Yonsei University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074403000","display_name":"Seyyedali Hosseinalipour","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seyyedali Hosseinalipour","raw_affiliation_strings":["University at Buffalo — SUNY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo — SUNY","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020399355","display_name":"Christopher G. Brinton","orcid":"https://orcid.org/0000-0003-2771-3521"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher G. Brinton","raw_affiliation_strings":["Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.45170000195503235,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.45170000195503235,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.19339999556541443,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.1257999986410141,"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/generalization","display_name":"Generalization","score":0.626800000667572},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6137999892234802},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5555999875068665},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.534600019454956},{"id":"https://openalex.org/keywords/rotation-formalisms-in-three-dimensions","display_name":"Rotation formalisms in three dimensions","score":0.4952999949455261},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4869000017642975},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.34150001406669617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.720300018787384},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.626800000667572},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6137999892234802},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5555999875068665},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.534600019454956},{"id":"https://openalex.org/C171018156","wikidata":"https://www.wikidata.org/wiki/Q7370306","display_name":"Rotation formalisms in three dimensions","level":2,"score":0.4952999949455261},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4869000017642975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41609999537467957},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35190001130104065},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.34150001406669617},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3375000059604645},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28450000286102295},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C2776542497","wikidata":"https://www.wikidata.org/wiki/Q5266672","display_name":"Development (topology)","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2685999870300293},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25110000371932983}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/infocom59046.2026.11571206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom59046.2026.11571206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2026 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2504.06235","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.06235","pdf_url":"https://arxiv.org/pdf/2504.06235","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:doi:10.48550/arxiv.2504.06235","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"Article"},{"id":"doi:10.48550/arxiv.2504.06235","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2504.06235","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2504.06235","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.06235","pdf_url":"https://arxiv.org/pdf/2504.06235","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415998983.pdf","grobid_xml":"https://content.openalex.org/works/W4415998983.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Much":[0],"of":[1,35,49,75,79,166],"federated":[2],"learning":[3],"(FL)":[4],"focuses":[5],"on":[6,68,119,173],"settings":[7],"where":[8],"local":[9],"dataset":[10],"statistics":[11],"remain":[12],"the":[13,33,73,91,130],"same":[14],"between":[15],"training":[16,138],"and":[17,70,82,151],"testing.":[18],"However,":[19],"this":[20,56],"assumption":[21],"often":[22],"does":[23],"not":[24],"hold":[25],"in":[26,65,86,111,139,185],"practice":[27],"due":[28],"to":[29,45,51,90,115,134,155,195],"distribution":[30],"shifts,":[31],"motivating":[32],"development":[34],"domain":[36,43],"generalization":[37],"(DG)":[38],"approaches":[39],"that":[40,179],"leverage":[41],"source":[42],"data":[44],"train":[46],"models":[47],"capable":[48],"generalizing":[50],"unseen":[52],"target":[53,188],"domains.":[54],"In":[55],"paper,":[57],"we":[58,128,177],"are":[59],"motivated":[60],"by":[61],"two":[62],"major":[63],"gaps":[64],"existing":[66,144],"work":[67],"FL":[69,87],"DG:":[71],"(1)":[72],"lack":[74],"formal":[76],"mathematical":[77],"analysis":[78],"DG":[80,84,106,117,137,146,175],"objectives;":[81],"(2)":[83],"research":[85],"being":[88],"limited":[89],"star-topology":[92],"architecture.":[93],"We":[94,142,158],"develop":[95],"Decentralized":[96],"Federated":[97],"Domain":[98],"Generalization":[99],"with":[100,190],"Style":[101],"Sharing":[102],"($\\textit{StyleDDG}$),":[103],"a":[104,112],"decentralized":[105,140,197],"algorithm":[107],"which":[108,164],"allows":[109],"devices":[110],"peer-to-peer":[113],"network":[114],"achieve":[116],"based":[118],"sharing":[120],"style":[121],"information":[122],"inferred":[123],"from":[124],"their":[125,153],"datasets.":[126],"Additionally,":[127],"provide":[129],"first":[131],"systematic":[132],"approach":[133],"analyzing":[135],"style-based":[136],"networks.":[141],"cast":[143],"centralized":[145],"algorithms":[147],"within":[148],"our":[149],"framework,":[150],"employ":[152],"formalisms":[154],"model":[156],"$\\textit{StyleDDG}$.":[157],"then":[159],"obtain":[160,182],"analytical":[161],"conditions":[162],"under":[163],"convergence":[165],"$\\textit{StyleDDG}$":[167,180],"can":[168,181],"be":[169],"guaranteed.":[170],"Through":[171],"experiments":[172],"popular":[174],"datasets,":[176],"demonstrate":[178],"significant":[183],"improvements":[184],"accuracy":[186],"across":[187],"domains":[189],"minimal":[191],"communication":[192],"overhead":[193],"compared":[194],"baseline":[196],"gradient":[198],"methods.":[199]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}