{"id":"https://openalex.org/W4412719014","doi":"https://doi.org/10.1109/tmc.2025.3592885","title":"Optimizing Communication and Device Clustering for Clustered Federated Learning With Differential Privacy","display_name":"Optimizing Communication and Device Clustering for Clustered Federated Learning With Differential Privacy","publication_year":2025,"publication_date":"2025-07-25","ids":{"openalex":"https://openalex.org/W4412719014","doi":"https://doi.org/10.1109/tmc.2025.3592885"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2025.3592885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3592885","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/A5042846116","display_name":"Dongyu Wei","orcid":"https://orcid.org/0009-0009-8167-6435"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongyu Wei","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA"],"raw_orcid":"https://orcid.org/0009-0009-8167-6435","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaoren Xu","orcid":"https://orcid.org/0009-0004-2747-2208"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoren Xu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA"],"raw_orcid":"https://orcid.org/0009-0004-2747-2208","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033999591","display_name":"Shiwen Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiwen Mao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA"],"raw_orcid":"https://orcid.org/0000-0002-7052-0007","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072241033","display_name":"Mingzhe Chen","orcid":"https://orcid.org/0000-0003-2570-703X"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingzhe Chen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA"],"raw_orcid":"https://orcid.org/0000-0003-2570-703X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA","institution_ids":["https://openalex.org/I145608581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.4339,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.9797124,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"25","issue":"1","first_page":"419","last_page":"433"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9994999766349792,"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":0.9994999766349792,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.954200029373169,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social 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":0.8320271968841553},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.8292586803436279},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7673962116241455},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.4471467137336731},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.35051822662353516},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2843360900878906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21396055817604065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8320271968841553},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8292586803436279},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7673962116241455},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.4471467137336731},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.35051822662353516},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2843360900878906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21396055817604065},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2025.3592885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3592885","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G332766267","display_name":null,"funder_award_id":"ECCS-2434054","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4746578975","display_name":null,"funder_award_id":"CCSS-2434053","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5816603528","display_name":null,"funder_award_id":"CNS-2350076","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1873763122","https://openalex.org/W2117686388","https://openalex.org/W2767079719","https://openalex.org/W2920095265","https://openalex.org/W2969525674","https://openalex.org/W2991544738","https://openalex.org/W3006403513","https://openalex.org/W3016169665","https://openalex.org/W3016632787","https://openalex.org/W3020156875","https://openalex.org/W3080934299","https://openalex.org/W3090615085","https://openalex.org/W3104631511","https://openalex.org/W3120430922","https://openalex.org/W3132669100","https://openalex.org/W3141518839","https://openalex.org/W3156841666","https://openalex.org/W3197981246","https://openalex.org/W3204091362","https://openalex.org/W4205228770","https://openalex.org/W4210754515","https://openalex.org/W4212984905","https://openalex.org/W4226154801","https://openalex.org/W4226348979","https://openalex.org/W4229007993","https://openalex.org/W4250589301","https://openalex.org/W4294310895","https://openalex.org/W4313043980","https://openalex.org/W4313182496","https://openalex.org/W4315630338","https://openalex.org/W4317794926","https://openalex.org/W4321608239","https://openalex.org/W4385249922","https://openalex.org/W4387007274","https://openalex.org/W4387869760","https://openalex.org/W4390948035","https://openalex.org/W4399426112","https://openalex.org/W4402156017","https://openalex.org/W4404562812","https://openalex.org/W4404563375","https://openalex.org/W4404576909","https://openalex.org/W4405022383"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3038283795","https://openalex.org/W2604501336","https://openalex.org/W2558166297","https://openalex.org/W2734500670","https://openalex.org/W2315671126","https://openalex.org/W798507144","https://openalex.org/W2964481303"],"abstract_inverted_index":{"In":[0,14],"this":[1],"paper,":[2],"a":[3,50,152,204,212],"secure":[4],"and":[5,25,30,56,82,101,141,176,264],"communication-efficient":[6],"clustered":[7],"federated":[8,68],"learning":[9,54,69,131,162,191],"(CFL)":[10],"design":[11],"is":[12,75,123],"proposed.":[13],"our":[15,90],"model,":[16],"several":[17],"base":[18],"stations":[19],"(BSs)":[20],"with":[21,28],"heterogeneous":[22],"task-handling":[23],"capabilities":[24],"multiple":[26],"users":[27,66,182],"non-independent":[29],"identically":[31],"distributed":[32,167],"(non-IID)":[33],"data":[34,100],"jointly":[35,78,184],"perform":[36],"CFL":[37,86,92],"training":[38,127,187],"incorporating":[39],"differential":[40],"privacy":[41],"(DP)":[42],"techniques.":[43],"Since":[44],"each":[45],"BS":[46],"can":[47,234,255],"process":[48],"only":[49],"subset":[51],"of":[52,129,179,189,224],"the":[53,126,148,180,186,198,222,236,246,253,257,265],"tasks":[55,132,192],"has":[57],"limited":[58,99],"wireless":[59],"resource":[60],"blocks":[61],"(RBs)":[62],"to":[63,65,77,96,105,124,169,239,262,272],"allocate":[64],"for":[67,85,207],"(FL)":[70],"model":[71,103,143],"parameter":[72],"transmission,":[73],"it":[74],"necessary":[76],"optimize":[79],"RB":[80,137],"allocation":[81],"user":[83],"scheduling":[84],"performance":[87],"optimization.":[88],"Meanwhile,":[89],"considered":[91],"method":[93],"requires":[94],"devices":[95,225],"use":[97],"their":[98,107,172],"FL":[102,142],"information":[104],"determine":[106,171],"task":[108],"identities,":[109],"which":[110,233],"may":[111],"introduce":[112],"additional":[113],"communication":[114,229],"overhead.":[115],"We":[116],"formulate":[117],"an":[118],"optimization":[119],"problem":[120],"whose":[121],"goal":[122],"minimize":[125,185],"loss":[128,188],"all":[130,190,194],"while":[133],"considering":[134],"device":[135],"clustering,":[136],"allocation,":[138],"DP":[139,177],"noise,":[140],"transmission":[144],"delay.":[145],"To":[146],"solve":[147],"problem,":[149],"we":[150,210],"propose":[151,211],"novel":[153,213],"dynamic":[154],"penalty":[155,206,214,219],"function":[156],"assisted":[157],"value":[158],"decomposed":[159],"multi-agent":[160],"reinforcement":[161],"(DPVD-MARL)":[163],"algorithm":[164],"that":[165,202,217,226,252],"enables":[166],"BSs":[168],"independently":[170],"connected":[173,181],"users,":[174],"RBs,":[175],"noise":[178],"but":[183],"across":[193],"BSs.":[195],"Different":[196],"from":[197],"existing":[199],"MARL":[200,237],"methods":[201],"assign":[203],"large":[205],"infeasible":[208],"actions,":[209,243],"assignment":[215],"scheme":[216,238],"assigns":[218],"depending":[220],"on":[221],"number":[223],"cannot":[227],"meet":[228],"constraints":[230],"(e.g.,":[231],"delay),":[232],"guide":[235],"quickly":[240],"find":[241],"valid":[242],"thus":[244],"improving":[245],"convergence":[247,258],"speed.":[248],"Simulation":[249],"results":[250],"show":[251],"DPVD-MARL":[254],"improve":[256],"rate":[259],"by":[260,269],"up":[261],"20%":[263],"ultimate":[266],"accumulated":[267],"rewards":[268],"15%":[270],"compared":[271],"independent":[273],"Q-learning.":[274]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
