{"id":"https://openalex.org/W4392607733","doi":"https://doi.org/10.1109/tmc.2024.3374706","title":"FedPE: Adaptive Model Pruning-Expanding for Federated Learning on Mobile Devices","display_name":"FedPE: Adaptive Model Pruning-Expanding for Federated Learning on Mobile Devices","publication_year":2024,"publication_date":"2024-03-08","ids":{"openalex":"https://openalex.org/W4392607733","doi":"https://doi.org/10.1109/tmc.2024.3374706"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2024.3374706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3374706","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"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 Mobile Computing","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/A5010021903","display_name":"Liping Yi","orcid":"https://orcid.org/0000-0001-6236-3673"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liping Yi","raw_affiliation_strings":["College of Computer Science, TMCC, SysNet, DISSec, GTIISC, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-6236-3673","affiliations":[{"raw_affiliation_string":"College of Computer Science, TMCC, SysNet, DISSec, GTIISC, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033745624","display_name":"Xiaorong Shi","orcid":"https://orcid.org/0000-0001-9092-9718"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaorong Shi","raw_affiliation_strings":["College of Computer Science, TMCC, SysNet, DISSec, GTIISC, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-9092-9718","affiliations":[{"raw_affiliation_string":"College of Computer Science, TMCC, SysNet, DISSec, GTIISC, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092176944","display_name":"Nan Wang","orcid":"https://orcid.org/0000-0002-6109-9660"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Wang","raw_affiliation_strings":["College of Computer Science, TMCC, SysNet, DISSec, GTIISC, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-6109-9660","affiliations":[{"raw_affiliation_string":"College of Computer Science, TMCC, SysNet, DISSec, GTIISC, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045694987","display_name":"Jinsong Zhang","orcid":"https://orcid.org/0000-0001-6238-7931"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsong Zhang","raw_affiliation_strings":["College of Computer Science, TMCC, SysNet, DISSec, GTIISC, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-6238-7931","affiliations":[{"raw_affiliation_string":"College of Computer Science, TMCC, SysNet, DISSec, GTIISC, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367433","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0003-0387-2501"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Wang","raw_affiliation_strings":["College of Computer Science, TMCC, SysNet, DISSec, GTIISC, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-0387-2501","affiliations":[{"raw_affiliation_string":"College of Computer Science, TMCC, SysNet, DISSec, GTIISC, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100390120","display_name":"Xiaoguang Liu","orcid":"https://orcid.org/0000-0002-9010-3278"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoguang Liu","raw_affiliation_strings":["College of Computer Science, TMCC, SysNet, DISSec, GTIISC, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-9010-3278","affiliations":[{"raw_affiliation_string":"College of Computer Science, TMCC, SysNet, DISSec, GTIISC, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":8.0576,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.97857684,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"23","issue":"11","first_page":"10475","last_page":"10493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9854000210762024,"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":0.9854000210762024,"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/T11614","display_name":"Cloud Data Security Solutions","score":0.9591000080108643,"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"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9578999876976013,"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":0.8847233057022095},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6743671894073486},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.5129839777946472},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.447104275226593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44182610511779785},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.37237992882728577},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3634081482887268},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3448772728443146},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3108392059803009},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22640857100486755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8847233057022095},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6743671894073486},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.5129839777946472},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.447104275226593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44182610511779785},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.37237992882728577},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3634081482887268},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3448772728443146},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3108392059803009},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22640857100486755},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2024.3374706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3374706","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"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 Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1454563993","display_name":null,"funder_award_id":"62272253","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7931203216","display_name":null,"funder_award_id":"62272252","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W1976617111","https://openalex.org/W2112796928","https://openalex.org/W2405578611","https://openalex.org/W2477905893","https://openalex.org/W2554302513","https://openalex.org/W2896413341","https://openalex.org/W2903890850","https://openalex.org/W2977090839","https://openalex.org/W2981337066","https://openalex.org/W2984259868","https://openalex.org/W2989289980","https://openalex.org/W2996872438","https://openalex.org/W3005776401","https://openalex.org/W3025029677","https://openalex.org/W3097205619","https://openalex.org/W3109129354","https://openalex.org/W3109723249","https://openalex.org/W3111512201","https://openalex.org/W3114244868","https://openalex.org/W3128515475","https://openalex.org/W3130806609","https://openalex.org/W3130896299","https://openalex.org/W3133814152","https://openalex.org/W3134509799","https://openalex.org/W3153509644","https://openalex.org/W3175216217","https://openalex.org/W3186051974","https://openalex.org/W3186590963","https://openalex.org/W3202260564","https://openalex.org/W3210103168","https://openalex.org/W3212947041","https://openalex.org/W3214721897","https://openalex.org/W3217156445","https://openalex.org/W4206320562","https://openalex.org/W4221156340","https://openalex.org/W4281736231","https://openalex.org/W4285326661","https://openalex.org/W4285722492","https://openalex.org/W4287906413","https://openalex.org/W4289107582","https://openalex.org/W4289147229","https://openalex.org/W4289546285","https://openalex.org/W4312191182","https://openalex.org/W4312309910","https://openalex.org/W4361763603","https://openalex.org/W4372260529","https://openalex.org/W4385329451","https://openalex.org/W4385484874","https://openalex.org/W4385488764","https://openalex.org/W4386320457","https://openalex.org/W4386938061","https://openalex.org/W4387587838","https://openalex.org/W4387891747","https://openalex.org/W4387969057","https://openalex.org/W4401024950","https://openalex.org/W4401508038","https://openalex.org/W6677103964","https://openalex.org/W6686735968","https://openalex.org/W6728757088","https://openalex.org/W6738383168","https://openalex.org/W6745148473","https://openalex.org/W6748019269","https://openalex.org/W6754416507","https://openalex.org/W6755166560","https://openalex.org/W6756756286","https://openalex.org/W6757093123","https://openalex.org/W6759238902","https://openalex.org/W6761040187","https://openalex.org/W6768511045","https://openalex.org/W6768911402","https://openalex.org/W6769363519","https://openalex.org/W6771852177","https://openalex.org/W6772318479","https://openalex.org/W6773813173","https://openalex.org/W6780897730","https://openalex.org/W6783533280","https://openalex.org/W6783970114","https://openalex.org/W6784239669","https://openalex.org/W6784336702","https://openalex.org/W6797677181","https://openalex.org/W6803975504","https://openalex.org/W6804408516","https://openalex.org/W6857551129"],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W2378744544","https://openalex.org/W2048100608","https://openalex.org/W2090296580","https://openalex.org/W1576249345","https://openalex.org/W4243905374","https://openalex.org/W2785815065","https://openalex.org/W1796074903","https://openalex.org/W4245955065","https://openalex.org/W2074254449"],"abstract_inverted_index":{"Recently,":[0],"federated":[1,60],"learning":[2,7,61],"(FL)":[3],"as":[4,139],"a":[5,14,56],"new":[6],"paradigm":[8],"allows":[9,64],"multi-party":[10],"to":[11,67,75,100,119,141,184,212],"collaboratively":[12],"train":[13],"shared":[15],"global":[16,148],"model":[17,95,263],"with":[18,135,164,229,240,253],"privacy":[19],"protection.":[20],"However,":[21],"vanilla":[22],"FL":[23,183],"running":[24],"on":[25,207,225],"heterogeneous":[26],"mobile":[27],"edge":[28],"devices":[29],"still":[30],"faces":[31],"three":[32,86,154],"crucial":[33],"challenges:":[34],"communication":[35,176,250,266],"efficiency,":[36],"statistical":[37,185],"heterogeneity,":[38],"and":[39,58,171,178,186,198,265],"system":[40,76,187],"heterogeneity.":[41,188],"<italic":[42,53,90,108,127,159,208],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[43,51,54,91,109,128,160,196,209,219,237,246],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">To":[44],"tackle":[45],"them":[46],"simultaneously,":[47],"we":[48],"devise</i>":[49],"<monospace":[50,195,218,236],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">FedPE</monospace>":[52,197,220,238],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">,":[55],"communication-efficient":[57],"personalized":[59,70],"framework,":[62],"which":[63,173],"each":[65,79],"client":[66],"search":[68,213],"for":[69,214,217],"optimal":[71,162,201,215,242],"local":[72,105,133],"subnets":[73,118,163],"adaptive":[74],"capacity":[77],"in":[78],"round":[80],"of":[81,85,104,145,152,182,194],"FL.</i>":[82],"It":[83],"consists":[84],"core":[87],"components:":[88],"a)":[89],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">adaptive":[92],"pruning-expanding</i>":[93],"controls":[94],"pruning":[96],"or":[97,116,231],"expanding":[98],"according":[99],"the":[101,114,126,143,146,153,169,180,192,259],"accuracy":[102,256,264],"variations":[103],"models,":[106],"b)":[107],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">error":[110],"compensation":[111],"strategy</i>":[112],"promotes":[113],"pruned":[115],"expanded":[117],"be":[120],"Lottery":[121],"Ticket":[122],"Networks":[123],"(LTNs),":[124],"c)":[125],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">fair":[129],"aggregation":[130],"rule</i>":[131],"aggregates":[132],"models":[134],"their":[136],"real-time":[137],"contributions":[138],"coefficients":[140],"boost":[142],"performance":[144],"aggregated":[147],"model.":[149],"The":[150],"integration":[151],"components":[155],"facilitates":[156],"that":[157,235],"only":[158],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">personalized":[161],"different":[165],"footprints</i>":[166],"interact":[167],"between":[168,262],"server":[170],"clients,":[172],"effectively":[174],"reduces":[175],"costs":[177],"enhances":[179],"robustness":[181],"We":[189],"also":[190],"prove":[191],"convergence":[193],"design":[199],"an":[200],"hyperparameter":[202],"searching":[203],"(OHS)":[204],"algorithm":[205],"based":[206],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Pareto":[210],"optimization</i>":[211],"hyperparameters":[216,243],".":[221],"Extensive":[222],"experiments":[223],"evaluated":[224],"five":[226],"real-world":[227],"datasets":[228],"IID":[230],"Non-IID":[232],"distributions":[233],"demonstrate":[234],"configured":[239],"found":[241],"achieves":[244],"<inline-formula":[245],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[247],"notation=\"LaTeX\">$1.86\\times":[248],"-121\\times$</tex-math></inline-formula>":[249],"efficiency":[251],"improvement":[252],"almost":[254],"no":[255],"degradation,":[257],"presenting":[258],"best":[260],"trade-off":[261],"cost.":[267]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
