{"id":"https://openalex.org/W7147274018","doi":"https://doi.org/10.1109/jas.2025.125414","title":"Flexible Federated Learning in Machinery Fault Diagnostics with Light Communication","display_name":"Flexible Federated Learning in Machinery Fault Diagnostics with Light Communication","publication_year":2026,"publication_date":"2026-03-01","ids":{"openalex":"https://openalex.org/W7147274018","doi":"https://doi.org/10.1109/jas.2025.125414"},"language":null,"primary_location":{"id":"doi:10.1109/jas.2025.125414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jas.2025.125414","pdf_url":null,"source":{"id":"https://openalex.org/S2484288132","display_name":"IEEE/CAA Journal of Automatica Sinica","issn_l":"2329-9266","issn":["2329-9266","2329-9274"],"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/CAA Journal of Automatica Sinica","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/A5132624802","display_name":"Xiang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Northeastern University,State Key Laboratory of Rolling and Automation,Shenyang,China,110819","Xi&#x0027;an Jiaotong University,Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System,Xi&#x0027;an,China,710049"],"affiliations":[{"raw_affiliation_string":"Northeastern University,State Key Laboratory of Rolling and Automation,Shenyang,China,110819","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Xi&#x0027;an Jiaotong University,Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System,Xi&#x0027;an,China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101695860","display_name":"W. Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weipeng Fan","raw_affiliation_strings":["Xi&#x0027;an Jiaotong University,Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System,Xi&#x0027;an,China,710049"],"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an Jiaotong University,Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System,Xi&#x0027;an,China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083548581","display_name":"S.-R. Eric Yang","orcid":"https://orcid.org/0000-0003-3377-1859"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaojie Yang","raw_affiliation_strings":["University of California,Department of Mechanical and Aerospace Engineering,San Diego,CA,USA,92093"],"affiliations":[{"raw_affiliation_string":"University of California,Department of Mechanical and Aerospace Engineering,San Diego,CA,USA,92093","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132681333","display_name":"Wei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Aerospace Engineering, Shenyang Aerospace University,Shenyang,China,110136"],"affiliations":[{"raw_affiliation_string":"School of Aerospace Engineering, Shenyang Aerospace University,Shenyang,China,110136","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5132681269","display_name":"Xu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Li","raw_affiliation_strings":["Northeastern University,State Key Laboratory of Rolling and Automation,Shenyang,China,110819","Xi&#x0027;an Jiaotong University,Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System,Xi&#x0027;an,China,710049"],"affiliations":[{"raw_affiliation_string":"Northeastern University,State Key Laboratory of Rolling and Automation,Shenyang,China,110819","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Xi&#x0027;an Jiaotong University,Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System,Xi&#x0027;an,China,710049","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5132624802"],"corresponding_institution_ids":["https://openalex.org/I87445476","https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.94084482,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"3","first_page":"680","last_page":"691"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.57669997215271,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.57669997215271,"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":0.08950000256299973,"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":0.08460000157356262,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.7080000042915344},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5579000115394592},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5206000208854675},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5094000101089478},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.414000004529953},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41200000047683716},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.3368000090122223},{"id":"https://openalex.org/keywords/telecommunications-network","display_name":"Telecommunications network","score":0.3107999861240387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7422999739646912},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.7080000042915344},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5579000115394592},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5206000208854675},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5094000101089478},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.414000004529953},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41200000047683716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4052000045776367},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3720000088214874},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.3368000090122223},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3174000084400177},{"id":"https://openalex.org/C192126672","wikidata":"https://www.wikidata.org/wiki/Q1068715","display_name":"Telecommunications network","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C167391956","wikidata":"https://www.wikidata.org/wiki/Q1401211","display_name":"Fault model","level":3,"score":0.2996000051498413},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.28850001096725464},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2831000089645386},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C10431821","wikidata":"https://www.wikidata.org/wiki/Q6510174","display_name":"Learning effect","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.2768999934196472},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.25679999589920044},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jas.2025.125414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jas.2025.125414","pdf_url":null,"source":{"id":"https://openalex.org/S2484288132","display_name":"IEEE/CAA Journal of Automatica Sinica","issn_l":"2329-9266","issn":["2329-9266","2329-9274"],"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/CAA Journal of Automatica Sinica","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.7345054745674133}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W243674440","https://openalex.org/W2556013418","https://openalex.org/W2617137613","https://openalex.org/W2798658180","https://openalex.org/W2801396593","https://openalex.org/W3007607795","https://openalex.org/W3115710758","https://openalex.org/W3138513656","https://openalex.org/W3157039246","https://openalex.org/W3169736721","https://openalex.org/W3174151364","https://openalex.org/W3180515657","https://openalex.org/W3202645507","https://openalex.org/W3209651137","https://openalex.org/W4200534047","https://openalex.org/W4205354047","https://openalex.org/W4225709684","https://openalex.org/W4226164542","https://openalex.org/W4226423887","https://openalex.org/W4285064815","https://openalex.org/W4294811335","https://openalex.org/W4303684738","https://openalex.org/W4312424218","https://openalex.org/W4313003510","https://openalex.org/W4313140425","https://openalex.org/W4361285006","https://openalex.org/W4361800035","https://openalex.org/W4378635572","https://openalex.org/W4380303710","https://openalex.org/W4386323726","https://openalex.org/W4386473383","https://openalex.org/W4387934964","https://openalex.org/W4388052692","https://openalex.org/W4390821284","https://openalex.org/W4391942604","https://openalex.org/W4393142437"],"related_works":[],"abstract_inverted_index":{"While":[0],"data-driven":[1],"fault":[2,168],"diagnosis":[3,169],"methods":[4,107],"have":[5],"been":[6],"successfully":[7],"developed":[8],"in":[9,35,70,100],"the":[10,29,71,112,135,148,155,172,175],"past":[11],"years,":[12],"large":[13],"amounts":[14],"of":[15,53,67,77],"high-quality":[16],"condition":[17],"monitoring":[18],"data":[19,36,52,64,81,128,139,181],"are":[20,129,140,161],"generally":[21],"required":[22],"to":[23,28,45,75],"ensure":[24],"model":[25,150],"performance.":[26],"Due":[27],"high":[30],"economic":[31],"and":[32,50,79,144,157,171,188],"labor":[33],"costs":[34],"collection,":[37],"it":[38],"is":[39,66,86,98,178],"difficult":[40],"for":[41,56,131,180],"a":[42,60,93],"single":[43],"user":[44],"build":[46],"an":[47],"effective":[48],"database,":[49],"exploring":[51],"multiple":[54],"users":[55,85],"better":[57],"training":[58],"becomes":[59],"promising":[61,179],"solution.":[62],"However,":[63],"privacy":[65],"great":[68],"importance":[69],"real":[72],"industries":[73],"due":[74],"conflicts":[76],"interest,":[78],"direct":[80],"aggregation":[82],"from":[83,104],"different":[84,114,125],"hardly":[87],"feasible.":[88],"To":[89],"address":[90],"this":[91,101],"issue,":[92],"flexible":[94,186],"federated":[95,183],"learning":[96,184],"method":[97,177],"proposed":[99,176],"paper.":[102],"Different":[103],"most":[105],"existing":[106],"with":[108,185],"identical":[109],"models":[110,120,187],"under":[111],"federation,":[113],"customized":[115],"individual":[116],"deep":[117],"neural":[118],"network":[119],"can":[121],"be":[122],"used":[123],"at":[124],"clients.":[126],"Public":[127],"exploited":[130],"knowledge":[132],"transfer.":[133],"Only":[134],"scores":[136],"on":[137,164],"public":[138],"communicated":[141],"between":[142],"clients":[143],"server,":[145],"rather":[146],"than":[147],"whole":[149],"parameters.":[151],"That":[152],"significantly":[153],"reduces":[154],"communication":[156],"computational":[158],"burden.":[159],"Experiments":[160],"carried":[162],"out":[163],"two":[165],"real-world":[166],"machinery":[167],"datasets,":[170],"results":[173],"show":[174],"privacy-preserving":[182],"light":[189],"communications.":[190]},"counts_by_year":[],"updated_date":"2026-04-02T13:53:19.096889","created_date":"2026-04-02T00:00:00"}
