{"id":"https://openalex.org/W4214607237","doi":"https://doi.org/10.1145/3510033","title":"<scp>FedBERT</scp>: When Federated Learning Meets Pre-training","display_name":"<scp>FedBERT</scp>: When Federated Learning Meets Pre-training","publication_year":2022,"publication_date":"2022-02-04","ids":{"openalex":"https://openalex.org/W4214607237","doi":"https://doi.org/10.1145/3510033"},"language":"en","primary_location":{"id":"doi:10.1145/3510033","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3510033","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","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/A5054828484","display_name":"Yuanyishu Tian","orcid":"https://orcid.org/0000-0002-6132-8355"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanyishu Tian","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101555948","display_name":"Yao Wan","orcid":"https://orcid.org/0000-0001-6937-4180"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Wan","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052577882","display_name":"Lingjuan Lyu","orcid":"https://orcid.org/0000-0003-3170-4994"},"institutions":[{"id":"https://openalex.org/I4210122684","display_name":"Sony Computer Science Laboratories","ror":"https://ror.org/02nc46417","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210122684"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Lingjuan Lyu","raw_affiliation_strings":["Sony AI, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Sony AI, Tokyo, Japan","institution_ids":["https://openalex.org/I4210122684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018644308","display_name":"Dezhong Yao","orcid":"https://orcid.org/0000-0003-0336-0522"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dezhong Yao","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022262922","display_name":"Hai Jin","orcid":"https://orcid.org/0000-0002-3934-7605"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Jin","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015105117","display_name":"Lichao Sun","orcid":"https://orcid.org/0000-0003-1539-7939"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lichao Sun","raw_affiliation_strings":["Lehigh University, Bethlehem, PA, USA"],"affiliations":[{"raw_affiliation_string":"Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5054828484"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":15.285,"has_fulltext":false,"cited_by_count":112,"citation_normalized_percentile":{"value":0.9924444,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"13","issue":"4","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.994700014591217,"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/T11719","display_name":"Data Quality and Management","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision 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":0.9261460304260254},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7118798494338989},{"id":"https://openalex.org/keywords/download","display_name":"Download","score":0.6202638149261475},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.523591160774231},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5142654776573181},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.47774022817611694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44047513604164124},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.43468883633613586},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38107675313949585},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.36946481466293335},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.28448963165283203},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09108123183250427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9261460304260254},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7118798494338989},{"id":"https://openalex.org/C2780154274","wikidata":"https://www.wikidata.org/wiki/Q7126717","display_name":"Download","level":2,"score":0.6202638149261475},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.523591160774231},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5142654776573181},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.47774022817611694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44047513604164124},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.43468883633613586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38107675313949585},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.36946481466293335},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.28448963165283203},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09108123183250427},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3510033","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3510033","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7799999713897705,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1342745255","display_name":null,"funder_award_id":"HUST:2020kfyXJJS019","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7808907098","display_name":null,"funder_award_id":"62072204, and 62102157","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W1538021842","https://openalex.org/W1816313093","https://openalex.org/W2250539671","https://openalex.org/W2283463896","https://openalex.org/W2507974895","https://openalex.org/W2602856279","https://openalex.org/W2604738573","https://openalex.org/W2739351760","https://openalex.org/W2767079719","https://openalex.org/W2771472444","https://openalex.org/W2773194476","https://openalex.org/W2777914285","https://openalex.org/W2896457183","https://openalex.org/W2903470619","https://openalex.org/W2911489562","https://openalex.org/W2912213068","https://openalex.org/W2938830017","https://openalex.org/W2944815030","https://openalex.org/W2945260553","https://openalex.org/W2952468927","https://openalex.org/W2955213239","https://openalex.org/W2963209930","https://openalex.org/W2963748441","https://openalex.org/W2963846996","https://openalex.org/W2965373594","https://openalex.org/W2966715458","https://openalex.org/W2968124245","https://openalex.org/W2970771982","https://openalex.org/W2974546631","https://openalex.org/W2981851019","https://openalex.org/W2986693348","https://openalex.org/W3005928794","https://openalex.org/W3010262580","https://openalex.org/W3012501605","https://openalex.org/W3012721701","https://openalex.org/W3013263293","https://openalex.org/W3018102029","https://openalex.org/W3021654819","https://openalex.org/W3033511014","https://openalex.org/W3037913917","https://openalex.org/W3044211235","https://openalex.org/W3046505290","https://openalex.org/W3046565236","https://openalex.org/W3048168663","https://openalex.org/W3081130510","https://openalex.org/W3084771305","https://openalex.org/W3086590218","https://openalex.org/W3089830493","https://openalex.org/W3091884625","https://openalex.org/W3102626224","https://openalex.org/W3104033643","https://openalex.org/W3105915864","https://openalex.org/W3108946571","https://openalex.org/W3111919937","https://openalex.org/W3127057363","https://openalex.org/W3137164102","https://openalex.org/W3153911428","https://openalex.org/W3160403640","https://openalex.org/W3178336997","https://openalex.org/W3187574650","https://openalex.org/W3193800853","https://openalex.org/W3199795011","https://openalex.org/W3200343674","https://openalex.org/W3210948155","https://openalex.org/W3217103056","https://openalex.org/W3217156445","https://openalex.org/W4236965008","https://openalex.org/W4287556607","https://openalex.org/W4287605110","https://openalex.org/W4287812080","https://openalex.org/W4287995911","https://openalex.org/W4288407534","https://openalex.org/W4289147263","https://openalex.org/W4291186635","https://openalex.org/W4297779784","https://openalex.org/W4298221930","https://openalex.org/W6765541894","https://openalex.org/W6771536673","https://openalex.org/W6774857738","https://openalex.org/W6782083561","https://openalex.org/W6798417033","https://openalex.org/W7058051947"],"related_works":["https://openalex.org/W2183842793","https://openalex.org/W2485259751","https://openalex.org/W4287615848","https://openalex.org/W4291722174","https://openalex.org/W2551249631","https://openalex.org/W4312475141","https://openalex.org/W3048813204","https://openalex.org/W4214940550","https://openalex.org/W3080832531","https://openalex.org/W4214626077"],"abstract_inverted_index":{"The":[0],"fast":[1],"growth":[2],"of":[3,35,51,60,68,111,159],"pre-trained":[4],"models":[5],"(PTMs)":[6],"has":[7,17],"brought":[8],"natural":[9,24],"language":[10,25],"processing":[11,26],"to":[12,81,93,120,154],"a":[13,19,42,52,58,65,84,97,102,124],"new":[14,103],"era,":[15],"which":[16],"become":[18],"dominant":[20],"technique":[21],"for":[22,41,77],"various":[23],"(NLP)":[27],"applications.":[28],"Every":[29],"user":[30],"can":[31,128,148],"download":[32],"the":[33,39,45,49,112,131,155],"weights":[34,40],"PTMs,":[36],"then":[37],"fine-tune":[38],"task":[43],"on":[44,56,141],"local":[46,157],"side.":[47],"However,":[48],"pre-training":[50,96,121],"model":[53],"relies":[54],"heavily":[55],"accessing":[57],"large-scale":[59],"training":[61],"data":[62,133,158],"and":[63,115,135],"requires":[64],"vast":[66],"amount":[67],"computing":[69,91],"resources.":[70],"These":[71],"strict":[72],"requirements":[73],"make":[74],"it":[75],"impossible":[76],"any":[78],"single":[79],"client":[80],"pre-train":[82],"such":[83],"model.":[85],"To":[86],"grant":[87],"clients":[88],"with":[89],"limited":[90],"capability":[92],"participate":[94],"in":[95,123],"large":[98],"model,":[99],"we":[100],"propose":[101],"learning":[104,114,117],"approach,":[105],"FedBERT":[106,127,147],",":[107],"that":[108,146],"takes":[109],"advantage":[110],"federated":[113,125],"split":[116],"approaches,":[118],"resorting":[119],"BERT":[122],"way.":[126],"prevent":[129],"sharing":[130],"raw":[132],"information":[134],"obtain":[136],"excellent":[137],"performance.":[138],"Extensive":[139],"experiments":[140],"seven":[142],"GLUE":[143],"tasks":[144],"demonstrate":[145],"maintain":[149],"its":[150],"effectiveness":[151],"without":[152],"communicating":[153],"sensitive":[156],"clients.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":46},{"year":2024,"cited_by_count":33},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":5}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
