{"id":"https://openalex.org/W4280621454","doi":"https://doi.org/10.23919/date54114.2022.9774662","title":"HELCFL: High-Efficiency and Low-Cost Federated Learning in Heterogeneous Mobile-Edge Computing","display_name":"HELCFL: High-Efficiency and Low-Cost Federated Learning in Heterogeneous Mobile-Edge Computing","publication_year":2022,"publication_date":"2022-03-14","ids":{"openalex":"https://openalex.org/W4280621454","doi":"https://doi.org/10.23919/date54114.2022.9774662"},"language":"en","primary_location":{"id":"doi:10.23919/date54114.2022.9774662","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date54114.2022.9774662","pdf_url":null,"source":{"id":"https://openalex.org/S4363607924","display_name":"2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)","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":"2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)","raw_type":"proceedings-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/A5028987002","display_name":"Yangguang Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139618","display_name":"Shanghai Key Laboratory of Trustworthy Computing","ror":"https://ror.org/030qbr085","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210139618"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yangguang Cui","raw_affiliation_strings":["East China Normal University,Shanghai Key Laboratory of Trustworthy Computing,Shanghai,China,200062","State Key Laboratory of Mathematical Engineering and Advanced Computing, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University,Shanghai Key Laboratory of Trustworthy Computing,Shanghai,China,200062","institution_ids":["https://openalex.org/I4210139618","https://openalex.org/I66867065"]},{"raw_affiliation_string":"State Key Laboratory of Mathematical Engineering and Advanced Computing, Wuxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052730043","display_name":"Kun Cao","orcid":"https://orcid.org/0000-0003-4872-4908"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Cao","raw_affiliation_strings":["College of Information Science and Technology, Jinan University,Guangzhou,China,510632"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Jinan University,Guangzhou,China,510632","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102905745","display_name":"Junlong Zhou","orcid":"https://orcid.org/0000-0002-7734-4077"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junlong Zhou","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology,Nanjing,China,210094"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology,Nanjing,China,210094","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042163232","display_name":"Tongquan Wei","orcid":"https://orcid.org/0000-0002-7421-1711"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]},{"id":"https://openalex.org/I4210139618","display_name":"Shanghai Key Laboratory of Trustworthy Computing","ror":"https://ror.org/030qbr085","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210139618"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongquan Wei","raw_affiliation_strings":["East China Normal University,Shanghai Key Laboratory of Trustworthy Computing,Shanghai,China,200062","State Key Laboratory of Mathematical Engineering and Advanced Computing, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University,Shanghai Key Laboratory of Trustworthy Computing,Shanghai,China,200062","institution_ids":["https://openalex.org/I4210139618","https://openalex.org/I66867065"]},{"raw_affiliation_string":"State Key Laboratory of Mathematical Engineering and Advanced Computing, Wuxi, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028987002"],"corresponding_institution_ids":["https://openalex.org/I4210139618","https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":1.3512,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.82563025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1227","last_page":"1232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T10237","display_name":"Cryptography and Data Security","score":0.9850000143051147,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.8310529589653015},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.656395435333252},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.6182608604431152},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6024629473686218},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5749560594558716},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5629870891571045},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5492692589759827},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5090953707695007},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.473476767539978},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.46965327858924866},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.44786375761032104},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.42774543166160583},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3666229844093323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29694586992263794},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.24928516149520874},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.17159521579742432}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8310529589653015},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.656395435333252},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.6182608604431152},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6024629473686218},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5749560594558716},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5629870891571045},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5492692589759827},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5090953707695007},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.473476767539978},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.46965327858924866},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.44786375761032104},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.42774543166160583},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3666229844093323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29694586992263794},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.24928516149520874},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.17159521579742432},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date54114.2022.9774662","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date54114.2022.9774662","pdf_url":null,"source":{"id":"https://openalex.org/S4363607924","display_name":"2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)","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":"2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8899999856948853,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G3524068079","display_name":null,"funder_award_id":"2021T140272,2021M691240","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3751513697","display_name":null,"funder_award_id":"62102164,62172224,61802185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5510271384","display_name":null,"funder_award_id":"2018YF B2101300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7474727400","display_name":null,"funder_award_id":"21621025","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"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":24,"referenced_works":["https://openalex.org/W2920095265","https://openalex.org/W2946682676","https://openalex.org/W2963318081","https://openalex.org/W2989289980","https://openalex.org/W2991308345","https://openalex.org/W3033664100","https://openalex.org/W3045832908","https://openalex.org/W3046056026","https://openalex.org/W3047304572","https://openalex.org/W3105122387","https://openalex.org/W3135231128","https://openalex.org/W3137518503","https://openalex.org/W3162073908","https://openalex.org/W3177095755","https://openalex.org/W3180608480","https://openalex.org/W3182125009","https://openalex.org/W3192007187","https://openalex.org/W4318619660","https://openalex.org/W6728757088","https://openalex.org/W6760157594","https://openalex.org/W6779414195","https://openalex.org/W6785591483","https://openalex.org/W6792220042","https://openalex.org/W6798357606"],"related_works":["https://openalex.org/W3154796165","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W4313463218","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4312996489"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL),":[2],"an":[3],"emerging":[4],"distributed":[5],"machine":[6],"learning":[7],"(ML),":[8],"empowers":[9],"a":[10,21,26,36,43,63,79,104,133],"large":[11],"number":[12],"of":[13,51,59,98,163],"embedded":[14],"devices":[15,61],"(e.g.,":[16],"phones":[17],"and":[18,20,56,88,106,115,122,167],"cameras)":[19],"server":[22],"to":[23,85,111,139,156,165,170,176],"jointly":[24],"train":[25],"global":[27],"ML":[28],"model":[29],"without":[30],"centralizing":[31],"user":[32,60,108],"private":[33],"data":[34],"on":[35,66],"server.":[37],"However,":[38],"when":[39],"deploying":[40],"FL":[41,67,81,90,113,128],"in":[42,74,127],"mobile-edge":[44],"computing":[45],"(MEC)":[46],"system,":[47,54],"restricted":[48],"communication":[49],"resources":[50],"the":[52,95,124,151,160],"MEC":[53],"heterogeneity":[55],"constrained":[57],"energy":[58,142,173],"have":[62],"severe":[64],"impact":[65],"training":[68,117,141,161,172],"efficiency.":[69],"To":[70],"address":[71],"these":[72],"issues,":[73],"this":[75],"article,":[76],"we":[77],"design":[78],"distinctive":[80],"framework,":[82],"called":[83],"HELCFL,":[84],"achieve":[86],"high-efficiency":[87],"low-cost":[89],"training.":[91],"Specifically,":[92],"by":[93,120,154],"analyzing":[94,121],"theoretical":[96],"foundation":[97],"FL,":[99],"our":[100,130,147],"HELCFL":[101,131,148],"first":[102],"develops":[103],"utility-driven":[105],"greedy-decay":[107],"selection":[109],"strategy":[110],"enhance":[112,150],"performance":[114],"reduce":[116,140],"delay.":[118],"Subsequently,":[119],"utilizing":[123],"slack":[125],"time":[126],"training,":[129],"introduces":[132],"device":[134],"operating":[135],"frequency":[136],"determination":[137],"approach":[138],"costs.":[143],"Experiments":[144],"verify":[145],"that":[146],"can":[149],"highest":[152],"accuracy":[153],"up":[155,164,169],"43.45":[157],"%,":[158],"realize":[159],"speedup":[162],"275.03%,":[166],"save":[168],"58.25%":[171],"costs":[174],"compared":[175],"state-of-the-art":[177],"baselines.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}