{"id":"https://openalex.org/W4315630018","doi":"https://doi.org/10.1109/globecom48099.2022.10001569","title":"Green Federated Learning via Energy-Aware Client Selection","display_name":"Green Federated Learning via Energy-Aware Client Selection","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4315630018","doi":"https://doi.org/10.1109/globecom48099.2022.10001569"},"language":"en","primary_location":{"id":"doi:10.1109/globecom48099.2022.10001569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10001569","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","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":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5019814667","display_name":"Rana Albelaihi","orcid":"https://orcid.org/0000-0002-5208-9743"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rana Albelaihi","raw_affiliation_strings":["University of New Mexico,Albuquerque,NM,USA,87131"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New Mexico,Albuquerque,NM,USA,87131","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032593874","display_name":"Liangkun Yu","orcid":"https://orcid.org/0000-0003-4062-2499"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liangkun Yu","raw_affiliation_strings":["University of New Mexico,Albuquerque,NM,USA,87131"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New Mexico,Albuquerque,NM,USA,87131","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054873987","display_name":"Warren D. Craft","orcid":"https://orcid.org/0009-0003-2014-6242"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Warren D. Craft","raw_affiliation_strings":["University of New Mexico,Albuquerque,NM,USA,87131"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New Mexico,Albuquerque,NM,USA,87131","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089353272","display_name":"Xiang Sun","orcid":"https://orcid.org/0000-0002-6954-7018"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang Sun","raw_affiliation_strings":["University of New Mexico,Albuquerque,NM,USA,87131"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New Mexico,Albuquerque,NM,USA,87131","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101504222","display_name":"Chonggang Wang","orcid":"https://orcid.org/0000-0002-6691-5233"},"institutions":[{"id":"https://openalex.org/I36326968","display_name":"InterDigital (United States)","ror":"https://ror.org/02w335z67","country_code":"US","type":"company","lineage":["https://openalex.org/I36326968"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chonggang Wang","raw_affiliation_strings":["InterDigital Communications,Conshohocken,PA,USA,19428"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InterDigital Communications,Conshohocken,PA,USA,19428","institution_ids":["https://openalex.org/I36326968"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042514230","display_name":"Robert Gazda","orcid":"https://orcid.org/0000-0003-3523-8978"},"institutions":[{"id":"https://openalex.org/I36326968","display_name":"InterDigital (United States)","ror":"https://ror.org/02w335z67","country_code":"US","type":"company","lineage":["https://openalex.org/I36326968"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Gazda","raw_affiliation_strings":["InterDigital Communications,Conshohocken,PA,USA,19428"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InterDigital Communications,Conshohocken,PA,USA,19428","institution_ids":["https://openalex.org/I36326968"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"18"},"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/T13553","display_name":"Age of Information Optimization","score":0.9975000023841858,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9958999752998352,"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/upload","display_name":"Upload","score":0.9167680740356445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8040676116943359},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5791749358177185},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5101285576820374},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4343448579311371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2767210602760315},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22982829809188843},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11186689138412476}],"concepts":[{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.9167680740356445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8040676116943359},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5791749358177185},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5101285576820374},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4343448579311371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2767210602760315},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22982829809188843},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11186689138412476},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom48099.2022.10001569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10001569","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","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":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2147800946","https://openalex.org/W2166243422","https://openalex.org/W2343568200","https://openalex.org/W2564810971","https://openalex.org/W2766728451","https://openalex.org/W2798720628","https://openalex.org/W2963179579","https://openalex.org/W2990444395","https://openalex.org/W3014718068","https://openalex.org/W3040216580","https://openalex.org/W3046056026","https://openalex.org/W3093755649","https://openalex.org/W3105122387","https://openalex.org/W3111182214","https://openalex.org/W3118608800","https://openalex.org/W3120454115","https://openalex.org/W3169437785","https://openalex.org/W3171253907","https://openalex.org/W3192661977","https://openalex.org/W3213113231","https://openalex.org/W3213583212","https://openalex.org/W4210637496","https://openalex.org/W4287332481","https://openalex.org/W4297666078","https://openalex.org/W6728757088","https://openalex.org/W6752191696","https://openalex.org/W6780071757"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2944823289","https://openalex.org/W3037018281","https://openalex.org/W2972592048","https://openalex.org/W2358319515","https://openalex.org/W4321854979","https://openalex.org/W2003209439","https://openalex.org/W2497626292","https://openalex.org/W4312214821","https://openalex.org/W4361862506"],"abstract_inverted_index":{"Federated":[0],"learning":[1,7,25],"(FL)":[2],"is":[3,35,205],"a":[4,23,123,148],"collaborative":[5],"machine":[6,24],"framework":[8],"to":[9,20,37,51,102,117,129,140,161,193],"enable":[10],"different":[11],"clients":[12,107,171,189],"such":[13],"as":[14],"Internet":[15],"of":[16,41,44,55,86,169,203],"Things":[17],"(IoT)":[18],"devices":[19,89],"participate":[21,130],"in":[22,67,122,131,135],"model":[26,75],"training":[27,133],"process,":[28],"while":[29,183],"preserving":[30],"data":[31],"privacy.":[32],"Client":[33],"selection":[34,48],"critical":[36],"determine":[38],"the":[39,45,53,65,74,82,87,100,132,136,163,167,174,180,187,199],"performance":[40,202],"FL.":[42],"Most":[43],"existing":[46],"client":[47,150],"methods":[49,80,111],"aim":[50],"maximize":[52],"number":[54,168],"selected":[56,108,170,181,188],"clients,":[57,182],"who":[58],"can":[59],"upload":[60,118,194],"their":[61,119,195],"local":[62,120,196],"models":[63,121,197],"before":[64,198],"deadline,":[66],"each":[68],"global":[69,124],"iteration,":[70],"thus":[71],"potentially":[72],"accelerating":[73],"convergence":[76],"rate.":[77],"However,":[78],"these":[79,110],"ignore":[81],"fact":[83],"that":[84,185],"most":[85],"IoT":[88],"are":[90,127],"powered":[91],"by":[92,109],"on-board":[93],"batteries":[94,178],"and":[95,172],"harvested":[96],"green":[97],"energy":[98,116,175,192],"from":[99,177],"environment":[101],"prolong":[103],"battery":[104,141],"life.":[105],"Hence,":[106],"may":[112],"not":[113],"have":[114,190],"sufficient":[115,191],"iteration":[125],"or":[126],"unable":[128],"process":[134],"near":[137],"future":[138],"due":[139],"drainage.":[142],"In":[143],"this":[144],"paper,":[145],"we":[146],"propose":[147],"novel":[149],"selection,":[151],"entitled":[152],"\u201cEnerGy-AwaRe":[153],"CliEnt":[154],"SElection":[155],"for":[156,179],"Green":[157],"FeDerated":[158],"Learning":[159],"(GREED)\u201d,":[160],"optimize":[162],"trade-off":[164],"between":[165],"maximizing":[166],"minimizing":[173],"drawn":[176],"ensuring":[184],"all":[186],"deadline.":[200],"The":[201],"GREED":[204],"validated":[206],"via":[207],"extensive":[208],"simulations.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":9}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
