{"id":"https://openalex.org/W4389610025","doi":"https://doi.org/10.1109/tkde.2023.3341808","title":"Collaborative Learning With Heterogeneous Local Models: A Rule-Based Knowledge Fusion Approach","display_name":"Collaborative Learning With Heterogeneous Local Models: A Rule-Based Knowledge Fusion Approach","publication_year":2023,"publication_date":"2023-12-12","ids":{"openalex":"https://openalex.org/W4389610025","doi":"https://doi.org/10.1109/tkde.2023.3341808"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2023.3341808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3341808","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Knowledge and Data Engineering","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/A5040445019","display_name":"Ying Pang","orcid":"https://orcid.org/0000-0002-6740-6246"},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Ying Pang","raw_affiliation_strings":["School of Computing, University of Otago, Dunedin, New Zealand","Department of Computer Science, University of Jinan, Dunedin, New Zealand"],"raw_orcid":"https://orcid.org/0000-0002-6740-6246","affiliations":[{"raw_affiliation_string":"School of Computing, University of Otago, Dunedin, New Zealand","institution_ids":["https://openalex.org/I80281795"]},{"raw_affiliation_string":"Department of Computer Science, University of Jinan, Dunedin, New Zealand","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100415757","display_name":"Haibo Zhang","orcid":"https://orcid.org/0000-0002-3752-0806"},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Haibo Zhang","raw_affiliation_strings":["School of Computing, University of Otago, Dunedin, New Zealand","Department of Computer Science, University of Jinan, Dunedin, New Zealand"],"raw_orcid":"https://orcid.org/0000-0002-3752-0806","affiliations":[{"raw_affiliation_string":"School of Computing, University of Otago, Dunedin, New Zealand","institution_ids":["https://openalex.org/I80281795"]},{"raw_affiliation_string":"Department of Computer Science, University of Jinan, Dunedin, New Zealand","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030040261","display_name":"Jeremiah D. Deng","orcid":"https://orcid.org/0000-0003-3727-4403"},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Jeremiah D. Deng","raw_affiliation_strings":["School of Computing, University of Otago, Dunedin, New Zealand","Department of Computer Science, University of Jinan, Dunedin, New Zealand"],"raw_orcid":"https://orcid.org/0000-0003-3727-4403","affiliations":[{"raw_affiliation_string":"School of Computing, University of Otago, Dunedin, New Zealand","institution_ids":["https://openalex.org/I80281795"]},{"raw_affiliation_string":"Department of Computer Science, University of Jinan, Dunedin, New Zealand","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001075168","display_name":"Lizhi Peng","orcid":"https://orcid.org/0000-0002-6009-522X"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhi Peng","raw_affiliation_strings":["School of Information Science and Engineering, University of Jinan, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-6009-522X","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016065545","display_name":"Fei Teng","orcid":"https://orcid.org/0000-0001-9535-7245"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Teng","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-9535-7245","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9166,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79722458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"36","issue":"11","first_page":"5768","last_page":"5783"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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":0.9998000264167786,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9567999839782715,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9251000285148621,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7828252911567688},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7676842212677002},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6015320420265198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5892875790596008},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.44790101051330566},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44163113832473755},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3687508702278137}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7828252911567688},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7676842212677002},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6015320420265198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5892875790596008},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.44790101051330566},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44163113832473755},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3687508702278137},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2023.3341808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3341808","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1618905105","https://openalex.org/W2048448061","https://openalex.org/W2095409369","https://openalex.org/W2103308415","https://openalex.org/W2122825543","https://openalex.org/W2133876672","https://openalex.org/W2143559846","https://openalex.org/W2152195021","https://openalex.org/W2182722412","https://openalex.org/W2187089797","https://openalex.org/W2516809705","https://openalex.org/W2753415590","https://openalex.org/W2799758613","https://openalex.org/W2888491225","https://openalex.org/W2890991187","https://openalex.org/W2900120080","https://openalex.org/W2903890850","https://openalex.org/W2962772482","https://openalex.org/W2969648982","https://openalex.org/W2980216952","https://openalex.org/W2990789643","https://openalex.org/W2997591727","https://openalex.org/W3007345209","https://openalex.org/W3012125688","https://openalex.org/W3026601682","https://openalex.org/W3042621011","https://openalex.org/W3120740533","https://openalex.org/W3122864121","https://openalex.org/W3133814152","https://openalex.org/W3155100294","https://openalex.org/W3196498627","https://openalex.org/W4206320562","https://openalex.org/W4221156340","https://openalex.org/W4285223069","https://openalex.org/W6635717444","https://openalex.org/W6636501900","https://openalex.org/W6728757088","https://openalex.org/W6743846187","https://openalex.org/W6755988804","https://openalex.org/W6759238902","https://openalex.org/W6768632158","https://openalex.org/W6770590064","https://openalex.org/W6774120287","https://openalex.org/W6780224944","https://openalex.org/W6783533280","https://openalex.org/W6796484261","https://openalex.org/W6800358597","https://openalex.org/W6847350444"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W1986582023","https://openalex.org/W2883749686","https://openalex.org/W2966829450"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL)":[2],"has":[3,43],"emerged":[4],"as":[5,123,181],"a":[6,63,91,124,135,157],"promising":[7],"collaborative":[8,94],"learning":[9,16,95,107,221,255],"paradigm":[10],"that":[11,97,207],"enables":[12],"to":[13,27,47,71,102,109,111,174,188],"train":[14],"machine":[15],"models":[17,108,222],"across":[18],"decentralized":[19,36],"devices,":[20],"while":[21],"keeping":[22],"the":[23,32,48,164,176,182,191,208,217,245],"training":[24,37],"data":[25,38,113],"localized":[26],"preserve":[28],"user":[29],"privacy.":[30],"However,":[31],"heterogeneity":[33,75],"in":[34,100,228,236],"both":[35,112,201,244],"and":[39,52,82,114,138,203,231,239,250],"distributed":[40],"computing":[41],"resources":[42],"posed":[44],"significant":[45],"challenges":[46],"design":[49],"of":[50,66,148,159,179,219],"effective":[51],"efficient":[53],"FL":[54,101],"schemes.":[55,256],"Most":[56],"existing":[57],"solutions":[58],"either":[59],"focus":[60],"on":[61,200],"tackling":[62],"single":[64],"type":[65],"heterogeneity,":[67],"or":[68],"are":[69],"unable":[70],"fully":[72],"support":[73],"model":[74,137,152,168,247],"with":[76,223,243],"low":[77],"communication":[78,240],"overhead,":[79,241],"fast":[80],"convergence,":[81],"good":[83,129],"interpretability.":[84,130],"In":[85,117],"this":[86],"paper,":[87],"we":[88],"present":[89],"CloREF,":[90,118],"novel":[92],"rule-based":[93],"framework":[96],"allows":[98],"devices":[99,172],"use":[103],"completely":[104],"different":[105],"local":[106,136,143,151,196],"cater":[110],"resource":[115],"heterogeneity.":[116,169],"each":[119,149],"rule":[120],"is":[121,153],"represented":[122],"linear":[125],"model,":[126,184],"which":[127,161],"provides":[128],"Each":[131],"participating":[132,171],"device":[133],"chooses":[134],"trains":[139],"it":[140],"using":[141,156],"its":[142],"data.":[144],"The":[145],"decision":[146],"boundary":[147],"trained":[150,248],"then":[154],"approximated":[155],"set":[158,178],"rules,":[160],"effectively":[162,189],"bridges":[163],"gap":[165],"arising":[166],"from":[167,194],"All":[170],"collaborate":[173],"select":[175],"optimal":[177],"rules":[180,209],"global":[183],"employing":[185],"evolutionary":[186],"optimization":[187],"fuse":[190],"knowledge":[192],"acquired":[193],"all":[195],"models.":[197],"Experimental":[198],"results":[199],"synthesized":[202],"real-world":[204],"datasets":[205],"demonstrate":[206],"generated":[210],"by":[211],"our":[212],"proposed":[213],"method":[214],"can":[215],"mimic":[216],"behaviors":[218],"various":[220],"high":[224],"fidelity":[225],"($\\gt":[226],"$0.95":[227],"most":[229],"tests),":[230],"CloREF":[232],"gives":[233],"competitive":[234],"performance":[235],"accuracy,":[237],"AUC,":[238],"compared":[242],"best-performing":[246],"centrally":[249],"several":[251],"state-of-the-art":[252],"model-heterogeneous":[253],"federated":[254]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}