{"id":"https://openalex.org/W4320029437","doi":"https://doi.org/10.1109/globecom48099.2022.10000664","title":"Energy Efficient Federated Learning over Cooperative Relay-Assisted Wireless Networks","display_name":"Energy Efficient Federated Learning over Cooperative Relay-Assisted Wireless Networks","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4320029437","doi":"https://doi.org/10.1109/globecom48099.2022.10000664"},"language":"en","primary_location":{"id":"doi:10.1109/globecom48099.2022.10000664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10000664","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/A5100319962","display_name":"Xinyue Zhang","orcid":"https://orcid.org/0000-0002-4243-083X"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinyue Zhang","raw_affiliation_strings":["Kennesaw State University,Department of Computer Science,Marietta,GA,30060"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kennesaw State University,Department of Computer Science,Marietta,GA,30060","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403639","display_name":"Rui Chen","orcid":"https://orcid.org/0000-0002-3853-6308"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rui Chen","raw_affiliation_strings":["University of Houston,Department of Electrical and Computer Engineering,Houston,TX,77204"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston,Department of Electrical and Computer Engineering,Houston,TX,77204","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319501","display_name":"Jingyi Wang","orcid":"https://orcid.org/0000-0002-4988-5626"},"institutions":[{"id":"https://openalex.org/I71838634","display_name":"San Francisco State University","ror":"https://ror.org/05ykr0121","country_code":"US","type":"education","lineage":["https://openalex.org/I71838634"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingyi Wang","raw_affiliation_strings":["San Francisco State University,Department of Computer Science,San Francisco,CA,94132"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"San Francisco State University,Department of Computer Science,San Francisco,CA,94132","institution_ids":["https://openalex.org/I71838634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101688281","display_name":"Huaqing Zhang","orcid":"https://orcid.org/0000-0001-8791-1672"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huaqing Zhang","raw_affiliation_strings":["University of Houston,Department of Electrical and Computer Engineering,Houston,TX,77204"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston,Department of Electrical and Computer Engineering,Houston,TX,77204","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047722991","display_name":"Miao Pan","orcid":"https://orcid.org/0000-0003-2138-4413"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miao Pan","raw_affiliation_strings":["University of Houston,Department of Electrical and Computer Engineering,Houston,TX,77204"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston,Department of Electrical and Computer Engineering,Houston,TX,77204","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6869,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.87057255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"179","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9995999932289124,"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":0.9995999932289124,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9988999962806702,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9937999844551086,"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/computer-science","display_name":"Computer science","score":0.847805380821228},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.7150737643241882},{"id":"https://openalex.org/keywords/relay","display_name":"Relay","score":0.7086591720581055},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.6477420926094055},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6269232630729675},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5390310883522034},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5084275603294373},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.5041779279708862},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4594936668872833},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.43968531489372253},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4328402876853943},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.4223973751068115},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.384198933839798},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16246190667152405},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15627598762512207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.847805380821228},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.7150737643241882},{"id":"https://openalex.org/C2778156585","wikidata":"https://www.wikidata.org/wiki/Q174053","display_name":"Relay","level":3,"score":0.7086591720581055},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.6477420926094055},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6269232630729675},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5390310883522034},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5084275603294373},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5041779279708862},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4594936668872833},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.43968531489372253},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4328402876853943},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.4223973751068115},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.384198933839798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16246190667152405},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15627598762512207},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom48099.2022.10000664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10000664","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":[{"id":"https://metadata.un.org/sdg/7","score":0.8399999737739563,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1996879304","https://openalex.org/W2099388379","https://openalex.org/W2152121970","https://openalex.org/W2578151840","https://openalex.org/W2604738573","https://openalex.org/W2899478246","https://openalex.org/W3010537615","https://openalex.org/W3013152812","https://openalex.org/W3093755649","https://openalex.org/W3122462552","https://openalex.org/W3155189475","https://openalex.org/W3164271417","https://openalex.org/W3183645631","https://openalex.org/W4234885474","https://openalex.org/W6728757088"],"related_works":["https://openalex.org/W2070735207","https://openalex.org/W3154796165","https://openalex.org/W4361251304","https://openalex.org/W3139051647","https://openalex.org/W2902693277","https://openalex.org/W4378977105","https://openalex.org/W3116709161","https://openalex.org/W3024547383","https://openalex.org/W4210813012","https://openalex.org/W3174690704"],"abstract_inverted_index":{"Federated":[0],"learning":[1,7],"(FL)":[2],"is":[3,75,84,110,155,211,220],"a":[4,99,142,174,192,204,207],"promising":[5],"distributed":[6],"paradigm,":[8],"which":[9],"can":[10],"effectively":[11],"avoid":[12],"the":[13,21,33,38,49,54,63,69,72,79,95,106,111,121,129,134,215,237],"privacy":[14],"leakage":[15],"and":[16,48,61,113,124,200,218,239],"communication":[17,112,126],"issues":[18],"compared":[19],"with":[20,128,224],"centralized":[22,39,50,130],"learning.":[23],"Specifically,":[24],"in":[25,94,137,203],"each":[26,151,214],"training":[27,35,46],"iteration,":[28],"FL":[29,59,96,152,197],"nodes":[30,60,180,199],"only":[31,157],"upload":[32],"local":[34,55,165,182],"results":[36,56,183],"to":[37,86,91,171,177,186,222,235],"server":[40,51,131],"without":[41,98],"disclosure":[42],"of":[43,57,71,105,117,241],"their":[44,164],"raw":[45],"dataset":[47],"will":[52],"aggregate":[53],"all":[58],"update":[62],"global":[64,73],"model.":[65],"To":[66,190],"this":[67,138],"end,":[68],"performance":[70],"model":[74],"highly":[76],"dependent":[77],"on":[78,163,181],"nodes'":[80],"cooperation.":[81],"However,":[82],"it":[83],"challenging":[85],"motivate":[87],"mobile":[88,107],"edge":[89,108],"devices":[90,109],"involve":[92],"themselves":[93],"process":[97],"desired":[100],"incentive.":[101],"Another":[102],"significant":[103],"concern":[104],"computational":[114,153,198,216],"energy":[115,144],"cost":[116,123],"participation.":[118],"Therefore,":[119],"considering":[120],"high":[122],"weak":[125],"channel":[127],"specially":[132],"for":[133,147,228],"distant":[135,179],"nodes,":[136],"paper,":[139],"we":[140],"propose":[141],"relay-assisted":[143],"efficient":[145],"scheme":[146],"federated":[148],"learning,":[149],"where":[150,213],"node":[154,176,217],"not":[156],"motivated":[158,170],"by":[159],"monetary":[160],"awards":[161],"based":[162],"dataset,":[166],"but":[167],"also":[168],"further":[169],"function":[172],"as":[173],"relay":[175,219],"assist":[178],"uploading":[184],"due":[185],"its":[187],"locality":[188],"advantage.":[189],"achieve":[191],"stable":[193],"pairing":[194,226],"solution":[195],"between":[196],"assisted":[201],"relays":[202],"distributive":[205],"fashion,":[206],"many-to-one":[208],"matching":[209],"algorithm":[210],"applied,":[212],"unable":[221],"deviate":[223],"current":[225],"unilaterally":[227],"higher":[229],"revenue.":[230],"Extensive":[231],"simulations":[232],"are":[233],"conducted":[234],"illustrate":[236],"correctness":[238],"effectiveness":[240],"our":[242],"proposed":[243],"scheme.":[244]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}