{"id":"https://openalex.org/W4285603559","doi":"https://doi.org/10.24963/ijcai.2022/385","title":"FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server","display_name":"FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4285603559","doi":"https://doi.org/10.24963/ijcai.2022/385"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/385","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/385","pdf_url":"https://www.ijcai.org/proceedings/2022/0385.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0385.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100430255","display_name":"Hong Zhang","orcid":"https://orcid.org/0000-0002-0088-8148"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, China","School of Computer Science and Technology, Soochow University, China,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, China,","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100689700","display_name":"Ji Liu","orcid":"https://orcid.org/0000-0002-0059-4588"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Liu","raw_affiliation_strings":["Baidu Inc., China","Baidu Inc., China,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc., China","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Baidu Inc., China,","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031306843","display_name":"Juncheng Jia","orcid":"https://orcid.org/0000-0001-8276-7640"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juncheng Jia","raw_affiliation_strings":["Collaborative Innovation Center of Novel Software Technology and Industrialization, China","School of Computer Science and Technology, Soochow University, China","School of Computer Science and Technology, Soochow University, China,","Collaborative Innovation Center of Novel Software Technology and Industrialization, China,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Novel Software Technology and Industrialization, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, China,","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Collaborative Innovation Center of Novel Software Technology and Industrialization, China,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008695791","display_name":"Zhou Yang","orcid":"https://orcid.org/0000-0001-5938-1918"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Zhou","raw_affiliation_strings":["Auburn University, United States","Auburn University, United States,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University, United States","institution_ids":["https://openalex.org/I82497590"]},{"raw_affiliation_string":"Auburn University, United States,","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012720409","display_name":"Huaiyu Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huaiyu Dai","raw_affiliation_strings":["North Carolina State University, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Carolina State University, United States","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021332177","display_name":"Dejing Dou","orcid":"https://orcid.org/0000-0003-2949-6874"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dejing Dou","raw_affiliation_strings":["Baidu Inc., China","Baidu Inc., China,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc., China","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Baidu Inc., China,","institution_ids":["https://openalex.org/I98301712"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5031306843"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":4.5694,"has_fulltext":true,"cited_by_count":46,"citation_normalized_percentile":{"value":0.95944871,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2776","last_page":"2782"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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":0.9997000098228455,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9976000189781189,"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":0.9732999801635742,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8594131469726562},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.8141528367996216},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.8011599779129028},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.595399022102356},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5745502710342407},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5211215615272522},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.47263237833976746},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4401872456073761},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42227569222450256},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35988423228263855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34433555603027344},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1525437831878662}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8594131469726562},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8141528367996216},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.8011599779129028},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.595399022102356},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5745502710342407},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5211215615272522},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.47263237833976746},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4401872456073761},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42227569222450256},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35988423228263855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34433555603027344},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1525437831878662},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/385","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/385","pdf_url":"https://www.ijcai.org/proceedings/2022/0385.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/385","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/385","pdf_url":"https://www.ijcai.org/proceedings/2022/0385.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285603559.pdf","grobid_xml":"https://content.openalex.org/works/W4285603559.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2194775991","https://openalex.org/W2541884796","https://openalex.org/W2786070938","https://openalex.org/W2807006176","https://openalex.org/W2903471046","https://openalex.org/W2994717757","https://openalex.org/W2995022099","https://openalex.org/W3034513523","https://openalex.org/W3035453001","https://openalex.org/W3043723611","https://openalex.org/W3045747588","https://openalex.org/W3094163844","https://openalex.org/W3118608800","https://openalex.org/W3159168343","https://openalex.org/W3169198323","https://openalex.org/W3173458168","https://openalex.org/W3174943464","https://openalex.org/W3212611649","https://openalex.org/W4220738117","https://openalex.org/W4294106961","https://openalex.org/W4297687186","https://openalex.org/W4297853509","https://openalex.org/W4309118031","https://openalex.org/W4318619660","https://openalex.org/W6676333094","https://openalex.org/W6678511256","https://openalex.org/W6755811877","https://openalex.org/W6791858558","https://openalex.org/W6803771590","https://openalex.org/W6864014924"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W1485337887"],"abstract_inverted_index":{"Despite":[0],"achieving":[1],"remarkable":[2],"performance,":[3],"Federated":[4],"Learning":[5],"(FL)":[6],"suffers":[7],"from":[8],"two":[9,32,129],"critical":[10],"challenges,":[11],"i.e.,":[12,29],"limited":[13],"computational":[14,157],"resources":[15],"and":[16,43,88,112,124,156],"low":[17],"training":[18,54],"efficiency.":[19,55],"In":[20],"this":[21],"paper,":[22],"we":[23],"propose":[24],"a":[25,57,95,119],"novel":[26],"FL":[27,135],"framework,":[28],"FedDUAP,":[30,137],"with":[31],"original":[33,130],"contributions,":[34],"to":[35,50,64,74,102,108,117,147,152,160],"exploit":[36,65],"the":[37,41,44,53,66,70,77,81,86,91,109,128],"insensitive":[38,67],"data":[39,46,68],"on":[40,69],"server":[42,59,82],"decentralized":[45],"in":[47,72,142],"edge":[48],"devices":[49],"further":[51],"improve":[52],"First,":[56],"dynamic":[58],"update":[60,83],"algorithm":[61],"is":[62,100],"designed":[63],"server,":[71],"order":[73],"dynamically":[75],"determine":[76],"optimal":[78],"steps":[79],"of":[80,90,114,144],"for":[84],"improving":[85],"convergence":[87],"accuracy":[89,145],"global":[92],"model.":[93],"Second,":[94],"layer-adaptive":[96],"model":[97],"pruning":[98,105],"method":[99],"developed":[101],"perform":[103],"unique":[104],"operations":[106],"adapted":[107],"different":[110],"dimensions":[111],"importance":[113],"multiple":[115],"layers,":[116],"achieve":[118],"good":[120],"balance":[121],"between":[122],"efficiency":[123,150],"effectiveness.":[125],"By":[126],"integrating":[127],"techniques":[131],"together,":[132],"our":[133],"proposed":[134],"model,":[136],"significantly":[138],"outperforms":[139],"baseline":[140],"approaches":[141],"terms":[143],"(up":[146,151,159],"4.8%":[148],"higher),":[149],"2.8":[153],"times":[154],"faster),":[155],"cost":[158],"61.9%":[161],"smaller).":[162]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
