{"id":"https://openalex.org/W4406610331","doi":"https://doi.org/10.1109/tccn.2025.3531464","title":"Incentive-Driven and Energy Efficient Federated Learning in Mobile Edge Networks","display_name":"Incentive-Driven and Energy Efficient Federated Learning in Mobile Edge Networks","publication_year":2025,"publication_date":"2025-01-20","ids":{"openalex":"https://openalex.org/W4406610331","doi":"https://doi.org/10.1109/tccn.2025.3531464"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2025.3531464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2025.3531464","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Cognitive Communications and Networking","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/A5049807322","display_name":"Huan Zhou","orcid":"https://orcid.org/0000-0003-4007-7224"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Zhou","raw_affiliation_strings":["College of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-4007-7224","affiliations":[{"raw_affiliation_string":"College of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038851501","display_name":"Qiangqiang Gu","orcid":"https://orcid.org/0000-0003-3258-3557"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiangqiang Gu","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, and the College of Computer and Information Technology, China Three Gorges University, Yichang, China","Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering and the College of Computer and Information Technology, China Three Gorges University, Yichang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, and the College of Computer and Information Technology, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering and the College of Computer and Information Technology, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089450416","display_name":"Peng Sun","orcid":"https://orcid.org/0000-0001-6221-8142"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Sun","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-6221-8142","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055675863","display_name":"Xiaokang Zhou","orcid":"https://orcid.org/0000-0003-3488-4679"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiaokang Zhou","raw_affiliation_strings":["Faculty of Business Data Science, Kansai University, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3488-4679","affiliations":[{"raw_affiliation_string":"Faculty of Business Data Science, Kansai University, Osaka, Japan","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035919267","display_name":"Victor C. M. Leung","orcid":"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 and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-3529-2640","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056303212","display_name":"Xinggang Fan","orcid":"https://orcid.org/0000-0001-5325-1231"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinggang Fan","raw_affiliation_strings":["College of Zhijiang, Zhejiang University of Technology, Shaoxing, China"],"raw_orcid":"https://orcid.org/0000-0001-5325-1231","affiliations":[{"raw_affiliation_string":"College of Zhijiang, Zhejiang University of Technology, Shaoxing, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":18.4958,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.99094801,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"11","issue":"2","first_page":"832","last_page":"846"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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":0.9997000098228455,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9955999851226807,"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"}},{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9879999756813049,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8090268969535828},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.7111304998397827},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4797043204307556},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4796898066997528},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.288332462310791}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8090268969535828},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.7111304998397827},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4797043204307556},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4796898066997528},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.288332462310791},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tccn.2025.3531464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2025.3531464","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Cognitive Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8600000143051147}],"awards":[{"id":"https://openalex.org/G1340186914","display_name":null,"funder_award_id":"62422212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3016592842","display_name":null,"funder_award_id":"62172255","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7739433689","display_name":null,"funder_award_id":"62472158","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W2127172809","https://openalex.org/W2194775991","https://openalex.org/W2963318081","https://openalex.org/W3015515533","https://openalex.org/W3135590557","https://openalex.org/W3155189475","https://openalex.org/W3156310591","https://openalex.org/W3167969180","https://openalex.org/W3174661481","https://openalex.org/W3174997142","https://openalex.org/W3176819695","https://openalex.org/W3203503583","https://openalex.org/W3206985409","https://openalex.org/W3215200847","https://openalex.org/W4200635003","https://openalex.org/W4205093761","https://openalex.org/W4210827421","https://openalex.org/W4220995498","https://openalex.org/W4283220764","https://openalex.org/W4285117925","https://openalex.org/W4285302300","https://openalex.org/W4285309724","https://openalex.org/W4285820401","https://openalex.org/W4312138951","https://openalex.org/W4312602762","https://openalex.org/W4313154517","https://openalex.org/W4315629805","https://openalex.org/W4315783855","https://openalex.org/W4319865990","https://openalex.org/W4321608239","https://openalex.org/W4376464656","https://openalex.org/W4385626838","https://openalex.org/W4386260556","https://openalex.org/W4386869810","https://openalex.org/W4387385833","https://openalex.org/W4390075021","https://openalex.org/W4390492901","https://openalex.org/W4391248729","https://openalex.org/W4391326609","https://openalex.org/W4392901632","https://openalex.org/W4399766997","https://openalex.org/W4400975592","https://openalex.org/W4402969644","https://openalex.org/W6684191040","https://openalex.org/W6743688258","https://openalex.org/W6780501606","https://openalex.org/W6787972765","https://openalex.org/W6804353173"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2367468089","https://openalex.org/W2390279801","https://openalex.org/W2358591856","https://openalex.org/W4391913857","https://openalex.org/W2098133976","https://openalex.org/W2358668433","https://openalex.org/W2347416728"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL),":[2],"as":[3,107,126,148],"a":[4,67,172],"new":[5],"distributed":[6],"learning":[7],"approach,":[8],"allows":[9],"multiple":[10],"heterogeneous":[11],"clients":[12,23,40,124],"to":[13,27,79,110,129,165,176,187],"cooperatively":[14],"train":[15,130],"models":[16,132],"without":[17,32],"disclosing":[18],"private":[19],"data.":[20],"However,":[21],"selfish":[22],"may":[24,49],"be":[25],"unwilling":[26],"participate":[28],"in":[29,41,205],"FL":[30,55,69],"training":[31,58,82,117],"appropriate":[33],"compensation.":[34],"In":[35,92],"addition,":[36],"the":[37,52,81,86,89,96,108,115,127,138,167,189,192,199],"characteristics":[38],"of":[39,54,88,140,191,207],"mobile":[42],"edge":[43],"networks":[44],"(e.g.,":[45],"limited":[46],"available":[47],"resources)":[48],"also":[50],"reduce":[51],"efficiency":[53],"and":[56,74,113,119,133,145,161,170],"increase":[57],"cost.":[59,180],"To":[60],"solve":[61,166],"these":[62],"challenges,":[63],"this":[64],"paper":[65],"proposes":[66],"Cost-Aware":[68],"framework":[70],"with":[71],"client":[72,141,159],"incentive":[73,100],"model":[75,120,137,146,162],"compression":[76,121,147,163],"(CAFL),":[77],"aiming":[78],"minimize":[80],"cost":[83,209],"while":[84],"ensuring":[85],"accuracy":[87],"global":[90],"model.":[91],"CAFL,":[93],"we":[94,153],"employ":[95],"reverse":[97],"auction":[98],"for":[99,178],"design,":[101],"where":[102],"Base":[103],"Station":[104],"(BS)":[105],"acts":[106],"auctioneer":[109],"select":[111],"clients,":[112],"determines":[114],"local":[116,131,143],"rounds":[118],"rates.":[122],"Meanwhile,":[123],"act":[125],"bidders":[128],"get":[134],"payments.":[135],"We":[136],"process":[139],"selection,":[142],"training,":[144],"Mixed-Integer":[149],"Non-Linear":[150],"programming.":[151],"Accordingly,":[152],"propose":[154],"an":[155],"improved":[156],"Soft":[157],"Actor-Critic-based":[158],"selection":[160],"algorithm":[164],"optimization":[168],"problem,":[169],"design":[171],"Vickrey-Clarke-Groves-based":[173],"payment":[174],"rule":[175],"compensate":[177],"clients\u2019":[179],"Finally,":[181],"extensive":[182],"simulation":[183],"experiments":[184],"are":[185],"conducted":[186],"evaluate":[188],"performance":[190],"proposed":[193,200],"method.":[194],"The":[195],"results":[196],"show":[197],"that":[198],"method":[201],"outperforms":[202],"other":[203],"benchmarks":[204],"terms":[206],"BS\u2019s":[208],"under":[210],"various":[211],"scenarios.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
