{"id":"https://openalex.org/W7124449488","doi":"https://doi.org/10.1109/jiot.2026.3654516","title":"Personalized Federated Learning With Multigranularity Confidence Alignment for IoT Device Collaboration","display_name":"Personalized Federated Learning With Multigranularity Confidence Alignment for IoT Device Collaboration","publication_year":2026,"publication_date":"2026-01-15","ids":{"openalex":"https://openalex.org/W7124449488","doi":"https://doi.org/10.1109/jiot.2026.3654516"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2026.3654516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3654516","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/A5123222372","display_name":"Yuxuan Luan","orcid":null},"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":"Yuxuan Luan","raw_affiliation_strings":["Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-1427-4884","affiliations":[{"raw_affiliation_string":"Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123174244","display_name":"Lixiang Li","orcid":null},"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":"Lixiang Li","raw_affiliation_strings":["Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9949-8731","affiliations":[{"raw_affiliation_string":"Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016214742","display_name":"Haipeng Peng","orcid":"https://orcid.org/0000-0003-4415-0126"},"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":"Haipeng Peng","raw_affiliation_strings":["Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4415-0126","affiliations":[{"raw_affiliation_string":"Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048936923","display_name":"Zilin Zhao","orcid":"https://orcid.org/0000-0002-7002-9306"},"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":"Zilin Zhao","raw_affiliation_strings":["Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":12.1051,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.96047325,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"13","issue":"6","first_page":"12105","last_page":"12118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9132000207901001,"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":0.9132000207901001,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.00930000003427267,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.007799999788403511,"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/federated-learning","display_name":"Federated learning","score":0.909600019454956},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7250000238418579},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6341999769210815},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.5781999826431274},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.5522000193595886},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5304999947547913},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.40619999170303345},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.40070000290870667}],"concepts":[{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.909600019454956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8914999961853027},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7250000238418579},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6341999769210815},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.5781999826431274},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.5522000193595886},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5304999947547913},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5078999996185303},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.40619999170303345},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.40070000290870667},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3977000117301941},{"id":"https://openalex.org/C142039133","wikidata":"https://www.wikidata.org/wiki/Q3620943","display_name":"Personalized learning","level":5,"score":0.3792000114917755},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.3718000054359436},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.34689998626708984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34290000796318054},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.32420000433921814},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.31450000405311584},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31450000405311584},{"id":"https://openalex.org/C2909755999","wikidata":"https://www.wikidata.org/wiki/Q4751126","display_name":"Low Confidence","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27480000257492065},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.260699987411499},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2026.3654516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3654516","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5428818464279175,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2396152343","display_name":null,"funder_award_id":"62032002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2415952571","display_name":null,"funder_award_id":"2024YFB2906500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7784242454","display_name":null,"funder_award_id":"2024YFB2906503","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G883613702","display_name":null,"funder_award_id":"U25B2031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W3042621011","https://openalex.org/W3047304572","https://openalex.org/W3080934299","https://openalex.org/W3111512201","https://openalex.org/W3133814152","https://openalex.org/W3182158470","https://openalex.org/W4206298942","https://openalex.org/W4213436114","https://openalex.org/W4213446860","https://openalex.org/W4224227775","https://openalex.org/W4225926344","https://openalex.org/W4226461837","https://openalex.org/W4312478437","https://openalex.org/W4381304577","https://openalex.org/W4385486288","https://openalex.org/W4386066535","https://openalex.org/W4386736874","https://openalex.org/W4386920558","https://openalex.org/W4387132565","https://openalex.org/W4390872538","https://openalex.org/W4391707532","https://openalex.org/W4393156671","https://openalex.org/W4402753575","https://openalex.org/W4404031727","https://openalex.org/W4404095747"],"related_works":[],"abstract_inverted_index":{"Federated":[0],"learning":[1,63,117],"(FL)":[2],"provides":[3],"a":[4,73,91],"privacy-preserving":[5],"solution":[6],"for":[7],"model":[8,45,80],"training":[9,39],"across":[10,119],"distributed":[11,34],"Internet":[12],"of":[13],"Things":[14],"(IoT)":[15],"devices.":[16],"IoT":[17],"scenarios":[18],"typically":[19],"involve":[20],"highly":[21],"heterogeneous":[22],"data,":[23],"limited":[24],"computational":[25],"capacity,":[26],"and":[27,32,52,86],"unstable":[28],"communication":[29],"links.":[30],"Non-independent":[31],"identically":[33],"(non-IID)":[35],"data":[36],"further":[37],"exacerbate":[38],"difficulties.":[40],"Common":[41],"challenges":[42],"include":[43],"reduced":[44],"generalization,":[46],"insufficient":[47],"robustness":[48],"against":[49],"abnormal":[50],"inputs,":[51],"performance":[53],"unfairness":[54],"among":[55],"clients.":[56],"To":[57],"address":[58],"these":[59],"challenges,":[60],"personalized":[61,115],"federated":[62,116],"with":[64],"multi-granularity":[65,74],"confidence":[66,75,81],"alignment":[67,76],"(FedMGCA)":[68],"is":[69,96],"introduced.":[70],"FedMGCA":[71,111],"incorporates":[72],"mechanism":[77],"to":[78,98],"calibrate":[79],"at":[82],"the":[83],"feature,":[84],"decision,":[85],"distribution":[87],"levels.":[88],"In":[89],"addition,":[90],"trust-based":[92],"dynamic":[93],"aggregation":[94],"strategy":[95],"adopted":[97],"reweight":[99],"client":[100],"updates":[101],"based":[102],"on":[103],"reliability":[104],"assessments.":[105],"The":[106],"experimental":[107],"results":[108],"demonstrate":[109],"that":[110],"consistently":[112],"outperforms":[113],"existing":[114],"algorithms":[118],"various":[120],"benchmarks.":[121]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-09T07:00:12.390032","created_date":"2026-01-17T00:00:00"}