{"id":"https://openalex.org/W4402830486","doi":"https://doi.org/10.1109/jiot.2024.3462724","title":"Self-simulation and Meta-Model Aggregation Based Heterogeneous Graph Coupled Federated Learning","display_name":"Self-simulation and Meta-Model Aggregation Based Heterogeneous Graph Coupled Federated Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402830486","doi":"https://doi.org/10.1109/jiot.2024.3462724"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2024.3462724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3462724","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5046857862","display_name":"Caihong Yan","orcid":"https://orcid.org/0009-0002-3049-4219"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Caihong Yan","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-3049-4219","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074579318","display_name":"Xiaofeng Lu","orcid":"https://orcid.org/0000-0003-1033-164X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Lu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1033-164X","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056748708","display_name":"P\u00edetro Li\u00f3","orcid":"https://orcid.org/0000-0002-0540-5053"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pietro Lio","raw_affiliation_strings":["Computer Laboratory, University of Cambridge, Cambridge, UK"],"raw_orcid":"https://orcid.org/0000-0002-0540-5053","affiliations":[{"raw_affiliation_string":"Computer Laboratory, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029925982","display_name":"Pan Hui","orcid":"https://orcid.org/0000-0002-0848-2599"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Pan Hui","raw_affiliation_strings":["Computational Media and Arts Thrust, Hong Kong University of Science and Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0848-2599","affiliations":[{"raw_affiliation_string":"Computational Media and Arts Thrust, Hong Kong University of Science and Technology, Guangzhou, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082144617","display_name":"Daojing He","orcid":"https://orcid.org/0000-0002-3820-8128"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daojing He","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, China"],"raw_orcid":"https://orcid.org/0000-0002-3820-8128","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046857862"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":2.7005,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.91930672,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13243","display_name":"Innovation in Digital Healthcare Systems","score":0.7942000031471252,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13243","display_name":"Innovation in Digital Healthcare Systems","score":0.7942000031471252,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14484","display_name":"Technology and Data Analysis","score":0.7495999932289124,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14233","display_name":"Diverse Topics in Contemporary Research","score":0.7038000226020813,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8664339780807495},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5177956819534302},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5028271079063416},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.481608122587204},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4094260334968567},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.20327642560005188}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8664339780807495},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5177956819534302},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5028271079063416},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.481608122587204},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4094260334968567},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.20327642560005188}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/jiot.2024.3462724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3462724","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-147289","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-147289","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1723975","is_oa":false,"landing_page_url":"https://hdl.handle.net/11573/1723975","pdf_url":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1723996","is_oa":false,"landing_page_url":"https://hdl.handle.net/11573/1723996","pdf_url":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W950821216","https://openalex.org/W1984020445","https://openalex.org/W2010187764","https://openalex.org/W2071744657","https://openalex.org/W2168175183","https://openalex.org/W2244992438","https://openalex.org/W2416799949","https://openalex.org/W2617704558","https://openalex.org/W2743104969","https://openalex.org/W2767774008","https://openalex.org/W2911286998","https://openalex.org/W2912213068","https://openalex.org/W2949208225","https://openalex.org/W2951626319","https://openalex.org/W2951823788","https://openalex.org/W2963707260","https://openalex.org/W2963919031","https://openalex.org/W2964015378","https://openalex.org/W2970398671","https://openalex.org/W3004507689","https://openalex.org/W3012871709","https://openalex.org/W3017949972","https://openalex.org/W3021654819","https://openalex.org/W3035719901","https://openalex.org/W3047212814","https://openalex.org/W3080590811","https://openalex.org/W3081203761","https://openalex.org/W3127308880","https://openalex.org/W3132522414","https://openalex.org/W3152893301","https://openalex.org/W3168547639","https://openalex.org/W3172710079","https://openalex.org/W3177095755","https://openalex.org/W3189215930","https://openalex.org/W3197915999","https://openalex.org/W3210103168","https://openalex.org/W3213120752","https://openalex.org/W3214721897","https://openalex.org/W4226092233","https://openalex.org/W4284692930","https://openalex.org/W4285378361","https://openalex.org/W4287184035","https://openalex.org/W4317515942","https://openalex.org/W4318586086","https://openalex.org/W4322706845","https://openalex.org/W4323343894","https://openalex.org/W4382318655","https://openalex.org/W4391806964","https://openalex.org/W4392309314","https://openalex.org/W4396754427","https://openalex.org/W6728757088","https://openalex.org/W6751569023","https://openalex.org/W6758050939","https://openalex.org/W6759238902","https://openalex.org/W6773817997","https://openalex.org/W6776488958","https://openalex.org/W6783533280","https://openalex.org/W6784987805","https://openalex.org/W6789305514","https://openalex.org/W6790009805","https://openalex.org/W6794274047","https://openalex.org/W6797785220"],"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":{"A":[0],"heterogeneous":[1,37,77,109,136,145],"information":[2,147],"network":[3],"(heterogeneous":[4],"graph)":[5],"federated":[6,42,61,79],"learning":[7,80],"plays":[8],"a":[9,75],"crucial":[10],"role":[11],"in":[12,16,26],"enabling":[13],"multiparty":[14,144],"collaboration":[15],"the":[17,30,45,58,64,91,97,121,135,141,158,170,177,202,205],"Internet":[18],"of":[19,33,60,66,123,143,174,180,186,204],"Things":[20],"system.":[21],"However,":[22],"due":[23],"to":[24,40,69],"differences":[25],"business":[27],"and":[28,38,47,86,111,133,152,172,195],"data,":[29],"local":[31],"models":[32],"each":[34],"participant":[35],"are":[36],"unable":[39],"achieve":[41],"aggregation.":[43],"Furthermore,":[44],"nonindependent":[46],"identically":[48],"distributed":[49],"(non-IID)":[50],"coupling":[51,99],"topology":[52],"structure":[53],"among":[54,165],"participants":[55],"severely":[56],"impacts":[57],"performance":[59],"learning.":[62],"Given":[63],"lack":[65],"appropriate":[67],"solutions":[68],"these":[70],"issues,":[71],"this":[72],"study":[73],"proposes":[74],"novel":[76],"graph":[78,146],"framework":[81],"(HGFL+)":[82],"based":[83,156],"on":[84,106,157],"self-simulation":[85],"meta-model":[87,159],"aggregation,":[88],"which":[89],"includes":[90],"following":[92],"two":[93],"innovative":[94],"techniques:":[95],"1)":[96],"missing":[98,124],"supplement":[100,122],"module":[101],"simulates":[102],"new":[103],"neighbor":[104],"nodes":[105],"its":[107],"original":[108],"graph,":[110],"constructs":[112],"associated":[113],"edges":[114],"using":[115],"multiple":[116,154],"encoder-decoder":[117],"structures,":[118],"thereby":[119],"achieving":[120],"neighbors":[125],"with":[126],"better":[127],"results":[128],"than":[129],"external":[130],"generative":[131],"methods":[132],"2)":[134],"model":[137,163,193],"aggregation":[138],"algorithm":[139],"realizes":[140],"fusion":[142],"through":[148],"mapping,":[149],"splitting,":[150],"aggregating,":[151],"recombining":[153],"stages":[155],"(the":[160],"largest":[161],"basic":[162],"unit":[164],"participants).":[166],"We":[167],"theoretically":[168],"analyzed":[169],"applicability":[171],"effectiveness":[173,203],"HGFL+,":[175],"demonstrating":[176],"generalization":[178],"boundary":[179],"HGFL+.":[181],"Meanwhile,":[182],"multidimensional":[183],"empirical":[184],"verification":[185],"classification":[187],"performance,":[188],"convergence":[189],"effect,":[190],"time":[191],"overhead,":[192],"size,":[194],"application":[196],"extension":[197],"(model,":[198],"task,":[199],"domain)":[200],"validates":[201],"proposed":[206],"method.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2024-09-26T00:00:00"}