{"id":"https://openalex.org/W4402158987","doi":"https://doi.org/10.1109/icc51166.2024.10623087","title":"Energy-Efficient Client Sampling for Federated Learning in Heterogeneous Mobile Edge Computing Networks","display_name":"Energy-Efficient Client Sampling for Federated Learning in Heterogeneous Mobile Edge Computing Networks","publication_year":2024,"publication_date":"2024-06-01","ids":{"openalex":"https://openalex.org/W4402158987","doi":"https://doi.org/10.1109/icc51166.2024.10623087"},"language":"en","primary_location":{"id":"doi:10.1109/icc51166.2024.10623087","doi":"https://doi.org/10.1109/icc51166.2024.10623087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc51166.2024.10623087","pdf_url":null,"source":{"id":"https://openalex.org/S4306419201","display_name":"International Conference on Communications","issn_l":"1550-3607","issn":["1550-3607"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"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":"ICC 2024 - IEEE International Conference on Communications","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5077344821","display_name":"Jian Xin Tang","orcid":"https://orcid.org/0000-0001-6658-9127","observed_orcids":["https://orcid.org/0000-0001-6658-9127"]},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Tang","raw_affiliation_strings":["School of Big Data & Software Engineering, Chongqing University","School of Big Data &#x0026; Software Engineering, Chongqing University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data & Software Engineering, Chongqing University","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"School of Big Data &#x0026; Software Engineering, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413431","display_name":"Xiuhua Li","orcid":"https://orcid.org/0000-0001-9041-0297","observed_orcids":["https://orcid.org/0000-0001-9041-0297"]},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuhua Li","raw_affiliation_strings":["School of Big Data & Software Engineering, Chongqing University","School of Big Data &#x0026; Software Engineering, Chongqing University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data & Software Engineering, Chongqing University","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"School of Big Data &#x0026; Software Engineering, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100423804","display_name":"Hui Li","orcid":"https://orcid.org/0000-0001-5244-9473","observed_orcids":["https://orcid.org/0000-0001-5244-9473","https://orcid.org/0000-0001-8310-7169"]},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["School of Big Data & Software Engineering, Chongqing University","School of Big Data &#x0026; Software Engineering, Chongqing University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data & Software Engineering, Chongqing University","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"School of Big Data &#x0026; Software Engineering, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103243349","display_name":"Min Xiong","orcid":"https://orcid.org/0000-0002-9134-3089","observed_orcids":["https://orcid.org/0000-0002-9134-3089"]},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Xiong","raw_affiliation_strings":["School of Big Data & Software Engineering, Chongqing University","School of Big Data &#x0026; Software Engineering, Chongqing University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data & Software Engineering, Chongqing University","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"School of Big Data &#x0026; Software Engineering, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046637354","display_name":"Xiaofei Wang","orcid":"https://orcid.org/0000-0001-5490-5591","observed_orcids":["https://orcid.org/0000-0001-5490-5591"]},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofei Wang","raw_affiliation_strings":["TKLAN, College of Intelligence & Computing, Tianjin University","TKLAN, College of Intelligence &#x0026; Computing, Tianjin University,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TKLAN, College of Intelligence & Computing, Tianjin University","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"TKLAN, College of Intelligence &#x0026; Computing, Tianjin University,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035919267","display_name":"Victor C. M. Leung","orcid":"https://orcid.org/0000-0003-3529-2640","observed_orcids":["https://orcid.org/0000-0003-3529-2640"]},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Victor C. M. Leung","raw_affiliation_strings":["College of Computer Science & Software Engineering, Shenzhen University","College of Computer Science &#x0026; Software Engineering, Shenzhen University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science & Software Engineering, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science &#x0026; Software Engineering, Shenzhen University,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4208,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85861466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"956","last_page":"961"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9628999829292297,"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":0.9628999829292297,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.03319999948143959,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12238","display_name":"Green IT and Sustainability","score":0.0006000000284984708,"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":0.9900000095367432},{"id":"https://openalex.org/keywords/client-sampling","display_name":"client sampling","score":0.9620000123977661},{"id":"https://openalex.org/keywords/energy-efficiency","display_name":"energy efficiency","score":0.8479999899864197},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"mobile edge computing","score":0.9800000190734863},{"id":"https://openalex.org/keywords/data-heterogeneity","display_name":"data heterogeneity","score":0.9200000166893005},{"id":"https://openalex.org/keywords/system-heterogeneity","display_name":"system heterogeneity","score":0.9639999866485596},{"id":"https://openalex.org/keywords/parameter-server","display_name":"parameter server","score":0.7450000047683716},{"id":"https://openalex.org/keywords/customer-selection","display_name":"client selection","score":0.628000020980835},{"id":"https://openalex.org/keywords/communication-capability","display_name":"communication capability","score":0.6690000295639038},{"id":"https://openalex.org/keywords/data-quality","display_name":"data quality","score":0.7850000262260437},{"id":"https://openalex.org/keywords/convergence-acceleration","display_name":"convergence acceleration","score":0.597000002861023},{"id":"https://openalex.org/keywords/network-congestion","display_name":"network congestion","score":0.7950000166893005},{"id":"https://openalex.org/keywords/data-privacy","display_name":"data privacy","score":0.9610000252723694}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8670452237129211},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5456377863883972},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.503837525844574},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.5017549991607666},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.488565057516098},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.4616687595844269},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4379204511642456},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.41731786727905273},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.29807478189468384},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2507651448249817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1850840151309967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc51166.2024.10623087","doi":"https://doi.org/10.1109/icc51166.2024.10623087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc51166.2024.10623087","pdf_url":null,"source":{"id":"https://openalex.org/S4306419201","display_name":"International Conference on Communications","issn_l":"1550-3607","issn":["1550-3607"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"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":"ICC 2024 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2541884796","https://openalex.org/W2955213239","https://openalex.org/W2962814013","https://openalex.org/W2963318081","https://openalex.org/W2972570881","https://openalex.org/W3021654819","https://openalex.org/W3111179237","https://openalex.org/W3116579057","https://openalex.org/W3178661111","https://openalex.org/W3182125009","https://openalex.org/W3184838508","https://openalex.org/W3188199045","https://openalex.org/W3208293033","https://openalex.org/W4226183928","https://openalex.org/W4316661141","https://openalex.org/W4319988680","https://openalex.org/W4320024348","https://openalex.org/W4367163048","https://openalex.org/W4387870083"],"related_works":["https://openalex.org/W7124950579","https://openalex.org/W4399437289","https://openalex.org/W3185547071","https://openalex.org/W7131883700","https://openalex.org/W4387883668","https://openalex.org/W4407212668","https://openalex.org/W4206236322","https://openalex.org/W4280585066","https://openalex.org/W2798720628","https://openalex.org/W4414165928"],"abstract_inverted_index":{"To":[0],"address":[1],"network":[2],"congestion":[3],"and":[4,15,51,76,122,156],"data":[5,33,49,123],"privacy":[6],"concerns,":[7],"federated":[8],"learning":[9],"(FL)":[10],"that":[11,143],"combines":[12],"multiple":[13],"clients":[14,58,95,132],"a":[16,85,136],"parameter":[17],"server":[18,55],"has":[19],"been":[20],"widely":[21],"used":[22],"in":[23,61,103],"mobile":[24,36],"edge":[25],"computing":[26],"(MEC)":[27],"networks":[28],"to":[29,59,69,96],"process":[30],"the":[31,39,48,62,73,90,98,117,129,150,153,158,163],"abundant":[32],"generated":[34],"by":[35,115],"clients.":[37,126],"However,":[38],"existing":[40],"client":[41,86,112],"sampling":[42,87,113],"methods":[43],"do":[44],"not":[45],"adequately":[46],"consider":[47],"heterogeneity":[50],"system":[52],"heterogeneity.":[53],"Parameter":[54],"selects":[56],"inappropriate":[57],"participate":[60],"FL":[63,102],"training":[64],"process.":[65],"This":[66],"inevitably":[67],"leads":[68],"slower":[70],"convergence":[71,151],"of":[72,92,101,125,152],"global":[74,154],"model":[75,88,155],"higher":[77],"energy":[78,99,159],"consumption.":[79],"In":[80],"this":[81],"paper,":[82],"we":[83,108],"design":[84],"with":[89,135,162],"goal":[91],"selecting":[93],"suitable":[94],"improve":[97],"efficiency":[100],"heterogeneous":[104],"MEC":[105],"networks.":[106],"Then":[107],"propose":[109],"an":[110],"energy-efficient":[111],"strategy":[114,146],"quantifying":[116],"communication":[118],"capability,":[119],"computation":[120],"capability":[121],"quality":[124],"Based":[127],"on":[128],"quantization":[130],"results,":[131],"are":[133],"assigned":[134],"corresponding":[137],"sampled":[138],"probability.":[139],"Simulation":[140],"results":[141],"show":[142],"our":[144],"proposed":[145],"can":[147],"effectively":[148],"accelerate":[149],"reduce":[157],"consumption":[160],"compared":[161],"baseline":[164],"schemes.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5}],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2024-09-03T00:00:00"}
