{"id":"https://openalex.org/W4386869810","doi":"https://doi.org/10.1109/tmc.2023.3317063","title":"Long-Term Adaptive VCG Auction Mechanism for Sustainable Federated Learning With Periodical Client Shifting","display_name":"Long-Term Adaptive VCG Auction Mechanism for Sustainable Federated Learning With Periodical Client Shifting","publication_year":2023,"publication_date":"2023-09-19","ids":{"openalex":"https://openalex.org/W4386869810","doi":"https://doi.org/10.1109/tmc.2023.3317063"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2023.3317063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2023.3317063","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","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/A5002200393","display_name":"Leijie Wu","orcid":"https://orcid.org/0000-0002-9235-736X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Leijie Wu","raw_affiliation_strings":["Hong Kong Polytechnic University, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-9235-736X","affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043464306","display_name":"Song Guo","orcid":"https://orcid.org/0000-0001-9831-2202"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Song Guo","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-9831-2202","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075795671","display_name":"Zicong Hong","orcid":"https://orcid.org/0000-0001-5689-382X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zicong Hong","raw_affiliation_strings":["Hong Kong Polytechnic University, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0001-5689-382X","affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000371319","display_name":"Yi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yi Liu","raw_affiliation_strings":["Hong Kong Polytechnic University, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0001-9280-1136","affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063181504","display_name":"Wenchao Xu","orcid":"https://orcid.org/0000-0003-0983-387X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenchao Xu","raw_affiliation_strings":["Hong Kong Polytechnic University, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0003-0983-387X","affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058268261","display_name":"Yufeng Zhan","orcid":"https://orcid.org/0000-0002-4528-1489"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufeng Zhan","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4528-1489","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8553,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92163454,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"23","issue":"5","first_page":"6060","last_page":"6073"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9878000020980835,"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"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.823823094367981},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6287513971328735},{"id":"https://openalex.org/keywords/vickrey\u2013clarke\u2013groves-auction","display_name":"Vickrey\u2013Clarke\u2013Groves auction","score":0.5646567344665527},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.4958218038082123},{"id":"https://openalex.org/keywords/mechanism-design","display_name":"Mechanism design","score":0.46281421184539795},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.46006786823272705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4228648841381073},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3713643550872803},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3364703059196472},{"id":"https://openalex.org/keywords/bidding","display_name":"Bidding","score":0.2851372957229614},{"id":"https://openalex.org/keywords/auction-theory","display_name":"Auction theory","score":0.19868776202201843},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.1274733543395996}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.823823094367981},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6287513971328735},{"id":"https://openalex.org/C147220207","wikidata":"https://www.wikidata.org/wiki/Q773073","display_name":"Vickrey\u2013Clarke\u2013Groves auction","level":4,"score":0.5646567344665527},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.4958218038082123},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.46281421184539795},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.46006786823272705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4228648841381073},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3713643550872803},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3364703059196472},{"id":"https://openalex.org/C9233905","wikidata":"https://www.wikidata.org/wiki/Q3276328","display_name":"Bidding","level":2,"score":0.2851372957229614},{"id":"https://openalex.org/C11276805","wikidata":"https://www.wikidata.org/wiki/Q771334","display_name":"Auction theory","level":3,"score":0.19868776202201843},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.1274733543395996},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmc.2023.3317063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2023.3317063","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-131605","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-131605","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G3017900995","display_name":null,"funder_award_id":"JCYJ20200109142008673","funder_id":"https://openalex.org/F4320326705","funder_display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality"}],"funders":[{"id":"https://openalex.org/F4320326705","display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W566219114","https://openalex.org/W1521457329","https://openalex.org/W1980906485","https://openalex.org/W2015007620","https://openalex.org/W2082011829","https://openalex.org/W2103368690","https://openalex.org/W2163922914","https://openalex.org/W2260700021","https://openalex.org/W2624786321","https://openalex.org/W2736601468","https://openalex.org/W2740489910","https://openalex.org/W2808146197","https://openalex.org/W2893890695","https://openalex.org/W2897165320","https://openalex.org/W2900120080","https://openalex.org/W2908532574","https://openalex.org/W2913340405","https://openalex.org/W2919115771","https://openalex.org/W2963440040","https://openalex.org/W2964247343","https://openalex.org/W2972882814","https://openalex.org/W2984693664","https://openalex.org/W2987317136","https://openalex.org/W2989120265","https://openalex.org/W3001989995","https://openalex.org/W3005429940","https://openalex.org/W3005876528","https://openalex.org/W3012990321","https://openalex.org/W3025029677","https://openalex.org/W3047040053","https://openalex.org/W3047365007","https://openalex.org/W3092703718","https://openalex.org/W3093755649","https://openalex.org/W3095611529","https://openalex.org/W3105099026","https://openalex.org/W3117488143","https://openalex.org/W3135472452","https://openalex.org/W3155189475","https://openalex.org/W3156818449","https://openalex.org/W3170127813","https://openalex.org/W3201798506","https://openalex.org/W3203637758","https://openalex.org/W4200034484","https://openalex.org/W4236587599","https://openalex.org/W4388596127","https://openalex.org/W6631150871","https://openalex.org/W6728757088","https://openalex.org/W6741002519","https://openalex.org/W6751975036","https://openalex.org/W6755988804","https://openalex.org/W6762028012","https://openalex.org/W6762234667","https://openalex.org/W6763088532","https://openalex.org/W6773684513","https://openalex.org/W6778959658"],"related_works":["https://openalex.org/W172103997","https://openalex.org/W2388473457","https://openalex.org/W4242054268","https://openalex.org/W3121776085","https://openalex.org/W2109834199","https://openalex.org/W3144390941","https://openalex.org/W2781643919","https://openalex.org/W2949946431","https://openalex.org/W2591293193","https://openalex.org/W4302357361"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL)":[2],"system":[3,41,88,105,123,191,242],"needs":[4],"to":[5,13,24,52,121,173,182,200],"incentivize":[6],"clients":[7],"since":[8],"they":[9],"may":[10],"be":[11],"reluctant":[12],"participate":[14],"in":[15,250],"the":[16,30,63,77,83,96,108,127,156,170,178,236,253,263],"resource":[17],"consuming":[18],"process.":[19],"Existing":[20],"incentive":[21,50],"mechanisms":[22],"fail":[23],"construct":[25],"a":[26,133,145,196,247],"sustainable":[27],"environment":[28],"for":[29,140,210],"long-term":[31,134,174,185,237],"development":[32],"of":[33,86,111,240],"FL":[34,87,141,241],"system:":[35],"1)":[36],"They":[37],"seldom":[38],"focus":[39],"on":[40,228,262],"economic":[42,165,171,220],"properties":[43,172,221],"(e.g.,":[44],"social":[45,238],"welfare,":[46],"individual":[47],"rationality,":[48],"and":[49,71,90,176,224],"compatibility)":[51],"guarantee":[53,162],"client":[54,113,203,260],"attraction.":[55],"2)":[56],"Current":[57,104],"online":[58],"auction":[59,138,154],"modeling":[60],"methods":[61],"divide":[62],"whole":[64],"continual":[65],"process":[66],"into":[67],"multiple":[68],"independent":[69],"rounds":[70],"solve":[72],"them":[73],"one-by-one,":[74],"which":[75,115,143],"breaks":[76],"correlation":[78],"between":[79],"each":[80],"round.":[81],"Besides,":[82,252],"inherent":[84],"characteristics":[85],"(model-agnostic":[89],"privacy-sensitive)":[91],"also":[92],"prevent":[93],"it":[94],"from":[95],"optimal":[97,186],"strategy":[98,120],"by":[99,205,244],"precise":[100],"mathematical":[101],"analysis.":[102],"3)":[103],"modelings":[106],"ignore":[107],"practical":[109],"problem":[110],"periodical":[112,202,259],"shifting,":[114],"cannot":[116],"adaptively":[117,257],"update":[118],"its":[119],"handle":[122,258],"dynamics.":[124],"To":[125],"overcome":[126],"above":[128],"challenges,":[129],"this":[130],"paper":[131],"proposes":[132],"adaptive":[135,206],"Vickrey\u2013Clarke\u2013Groves":[136],"(VCG)":[137],"mechanism":[139],"system,":[142],"incorporate":[144],"multi-branch":[146,197,254],"deep":[147],"reinforcement":[148],"learning":[149],"(DRL)":[150],"algorithm.":[151],"First,":[152],"VCG":[153],"is":[155],"only":[157],"one":[158],"that":[159],"can":[160,256],"simultaneously":[161],"all":[163],"crucial":[164],"properties.":[166],"Second,":[167],"we":[168,194,215],"extend":[169],"forms":[175],"apply":[177],"experience-driven":[179],"DRL":[180,198],"algorithm":[181],"directly":[183],"obtain":[184],"strategy,":[187],"without":[188],"any":[189],"prior":[190],"knowledge.":[192],"Third,":[193],"reconstruct":[195],"network":[199,255],"accommodate":[201],"shifting":[204,261],"decision":[207],"head":[208],"switching":[209],"different":[211],"time":[212],"periods.":[213],"Finally,":[214],"theoretically":[216],"prove":[217],"he":[218],"extended":[219],"(i.e.,":[222],"IC)":[223],"conduct":[225],"extensive":[226],"experiments":[227],"several":[229],"real-world":[230],"datasets.":[231],"Compared":[232],"with":[233,246],"state-of-the-art":[234],"approaches,":[235],"welfare":[239],"increases":[243],"36%":[245],"37%":[248],"reduction":[249],"payment.":[251],"timeline.":[264]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
