{"id":"https://openalex.org/W4404576838","doi":"https://doi.org/10.1109/tccn.2024.3499342","title":"Privacy-Preserving Multi-Agent Deep Reinforcement Learning for Effective Resource Auction in Multi-Access Edge Computing","display_name":"Privacy-Preserving Multi-Agent Deep Reinforcement Learning for Effective Resource Auction in Multi-Access Edge Computing","publication_year":2024,"publication_date":"2024-11-21","ids":{"openalex":"https://openalex.org/W4404576838","doi":"https://doi.org/10.1109/tccn.2024.3499342"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2024.3499342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2024.3499342","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/A5069303863","display_name":"Feiran You","orcid":"https://orcid.org/0000-0003-4353-3168"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Feiran You","raw_affiliation_strings":["School of Electrical and Computer Engineering, The University of Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049765501","display_name":"Xin Yuan","orcid":"https://orcid.org/0000-0002-9167-1613"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I4210101388","display_name":"Health Sciences and Nutrition","ror":"https://ror.org/0152bt112","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4210101388","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xin Yuan","raw_affiliation_strings":["Data61, Commonwealth Scientific and Industrial Research Organization, Sydney, NSW, Australia","Data61, CSIRO, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Data61, Commonwealth Scientific and Industrial Research Organization, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I4210101388","https://openalex.org/I42894916"]},{"raw_affiliation_string":"Data61, CSIRO, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101544825","display_name":"Wei Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I4210101388","display_name":"Health Sciences and Nutrition","ror":"https://ror.org/0152bt112","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4210101388","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Ni","raw_affiliation_strings":["Data61, Commonwealth Scientific and Industrial Research Organization, Sydney, NSW, Australia","Data61, CSIRO, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Data61, Commonwealth Scientific and Industrial Research Organization, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I4210101388","https://openalex.org/I42894916"]},{"raw_affiliation_string":"Data61, CSIRO, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086268677","display_name":"Abbas Jamalipour","orcid":"https://orcid.org/0000-0002-1807-7220"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Abbas Jamalipour","raw_affiliation_strings":["School of Electrical and Computer Engineering, The University of Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069303863"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":3.1276,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.92829236,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"11","issue":"3","first_page":"1887","last_page":"1901"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9891999959945679,"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":0.9891999959945679,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8330429792404175},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8011268973350525},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5786471962928772},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4523336887359619},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4059157371520996},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3759968876838684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33069050312042236}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8330429792404175},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8011268973350525},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5786471962928772},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4523336887359619},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4059157371520996},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3759968876838684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33069050312042236}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tccn.2024.3499342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2024.3499342","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2020828423","https://openalex.org/W2027595342","https://openalex.org/W2057067174","https://openalex.org/W2604179764","https://openalex.org/W2804176576","https://openalex.org/W2894551741","https://openalex.org/W2963062476","https://openalex.org/W2970594024","https://openalex.org/W2981823494","https://openalex.org/W3011724776","https://openalex.org/W3046518446","https://openalex.org/W3047578702","https://openalex.org/W3107829325","https://openalex.org/W3157295155","https://openalex.org/W4200528259","https://openalex.org/W4210378743","https://openalex.org/W4251525635","https://openalex.org/W4285238599","https://openalex.org/W4285820523","https://openalex.org/W4292263648","https://openalex.org/W4294691500","https://openalex.org/W4295872755","https://openalex.org/W4312620418","https://openalex.org/W4316652362","https://openalex.org/W4323644407","https://openalex.org/W4323891867","https://openalex.org/W4327643804","https://openalex.org/W4360995544","https://openalex.org/W4385756633","https://openalex.org/W4387789661","https://openalex.org/W4388145497","https://openalex.org/W4388596127","https://openalex.org/W4392153455","https://openalex.org/W4394967025","https://openalex.org/W6683755438","https://openalex.org/W6738796088","https://openalex.org/W6767300576","https://openalex.org/W6802757742"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W4386004629","https://openalex.org/W3023564924","https://openalex.org/W2942586735"],"abstract_inverted_index":{"Multi-access":[0],"edge":[1],"computing":[2],"(MEC)":[3],"offloads":[4],"services":[5,20],"for":[6],"mobile":[7],"users":[8,96],"to":[9,22,58,81,120,185,207],"facilitate":[10],"the":[11,42,87,104,138,151,156,160,175,190],"integration":[12],"of":[13,46,177],"idle":[14],"cloudlet":[15],"resources":[16],"and":[17,32,39,61,95,114,117,166,183,205],"bring":[18],"cloud":[19],"closer":[21],"users.":[23,209],"Existing":[24],"studies":[25],"have":[26],"focused":[27],"primarily":[28],"on":[29,162],"task":[30],"coordination":[31],"resource":[33],"allocation":[34],"with":[35,111],"strict":[36],"time":[37],"constraints,":[38],"typically":[40],"overlooked":[41],"potential":[43],"privacy":[44,62,127],"leakage":[45],"users\u2019":[47,163],"participation":[48],"strategies":[49],"in":[50,64,137,180],"MEC.":[51],"This":[52],"paper":[53],"proposes":[54],"a":[55,68,98,131,197],"novel":[56],"solution":[57],"computation":[59,83,105],"offloading":[60,84,106],"protection":[63],"MEC":[65],"networks":[66],"using":[67],"Multi-agent":[69],"Deep":[70],"Deterministic":[71],"Policy":[72],"Gradient":[73],"(MADDPG)":[74],"framework.":[75],"Our":[76],"approach":[77,179,191],"utilizes":[78],"game":[79,110],"theory":[80],"encourage":[82],"by":[85],"modeling":[86],"interaction":[88],"between":[89],"cloudlets,":[90],"Data":[91],"Center":[92],"Operators":[93],"(DCOs),":[94],"as":[97,107],"stochastic":[99],"auction":[100,109],"game.":[101],"We":[102],"formulate":[103],"an":[108,122,142,186],"multiple":[112],"bidders":[113],"incomplete":[115],"information,":[116],"use":[118],"MADDPG":[119,139],"find":[121],"optimal":[123],"solution.":[124],"To":[125],"ensure":[126],"protection,":[128],"we":[129],"design":[130],"local":[132,152],"Differential":[133],"Privacy":[134],"(DP)":[135],"method":[136],"algorithm.":[140],"With":[141],"<inline-formula":[143],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[144],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[145],"<tex-math":[146],"notation=\"LaTeX\">$(\\epsilon,":[147],"\\delta)$":[148],"</tex-math></inline-formula>-DP":[149],"mechanism,":[150],"DP":[153,182],"ensures":[154],"that":[155],"sampled":[157],"transitions,":[158],"including":[159],"information":[161],"actions,":[164],"states,":[165],"corresponding":[167],"rewards,":[168],"are":[169,202],"protected":[170],"from":[171],"exploitation.":[172],"Analyses":[173],"corroborate":[174],"effectiveness":[176],"our":[178],"satisfying":[181],"converging":[184],"equilibrium.":[187],"Simulations":[188],"demonstrate":[189],"achieves":[192],"126.75%":[193],"better":[194],"quality-of-experience":[195],"than":[196],"knapsack-based":[198],"benchmark,":[199],"when":[200],"there":[201],"60":[203],"cloudlets":[204],"up":[206],"100":[208]},"counts_by_year":[{"year":2025,"cited_by_count":9}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}