{"id":"https://openalex.org/W4405304342","doi":"https://doi.org/10.1109/tifs.2024.3516564","title":"Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization","display_name":"Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization","publication_year":2024,"publication_date":"2024-12-12","ids":{"openalex":"https://openalex.org/W4405304342","doi":"https://doi.org/10.1109/tifs.2024.3516564"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2024.3516564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2024.3516564","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ris.utwente.nl/ws/files/479686805/Provable_Privacy_Advantages_of_Decentralized_Federated_Learning_via_Distributed_Optimization.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101989022","display_name":"Wenrui Yu","orcid":"https://orcid.org/0009-0008-4089-3727"},"institutions":[{"id":"https://openalex.org/I4210128801","display_name":"Helmholtz Center for Information Security","ror":"https://ror.org/02njgxr09","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I4210128801"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wenrui Yu","raw_affiliation_strings":["CISPA Helmholtz Center for Information Security, Saarbrücken, Germany"],"raw_orcid":"https://orcid.org/0009-0008-4089-3727","affiliations":[{"raw_affiliation_string":"CISPA Helmholtz Center for Information Security, Saarbrücken, Germany","institution_ids":["https://openalex.org/I4210128801"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062097625","display_name":"Qiongxiu Li","orcid":"https://orcid.org/0000-0002-2487-5149"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Qiongxiu Li","raw_affiliation_strings":["Department of Electronic Systems, Aalborg University, Aalborg, Denmark"],"raw_orcid":"https://orcid.org/0000-0002-2487-5149","affiliations":[{"raw_affiliation_string":"Department of Electronic Systems, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066676005","display_name":"Milan Lopuha\u00e4-Zwakenberg","orcid":"https://orcid.org/0000-0001-5687-854X"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Milan Lopuha\u00e4-Zwakenberg","raw_affiliation_strings":["Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-5687-854X","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026658144","display_name":"Mads Gr\u00e6sb\u00f8ll Christensen","orcid":"https://orcid.org/0000-0003-3586-7969"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Mads Gr\u00e6sb\u00f8ll Christensen","raw_affiliation_strings":["Department of Electronic Systems, Aalborg University, Aalborg, Denmark"],"raw_orcid":"https://orcid.org/0000-0003-3586-7969","affiliations":[{"raw_affiliation_string":"Department of Electronic Systems, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089150994","display_name":"Richard Heusdens","orcid":"https://orcid.org/0000-0001-5998-1550"},"institutions":[{"id":"https://openalex.org/I4210119716","display_name":"Netherlands Defence Academy","ror":"https://ror.org/02dnvjf04","country_code":"NL","type":"facility","lineage":["https://openalex.org/I4210094335","https://openalex.org/I4210119716","https://openalex.org/I4210140876"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Richard Heusdens","raw_affiliation_strings":["Netherlands Defence Academy, Den Helder, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-5998-1550","affiliations":[{"raw_affiliation_string":"Netherlands Defence Academy, Den Helder, The Netherlands","institution_ids":["https://openalex.org/I4210119716"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7785,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.91828994,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"20","issue":null,"first_page":"822","last_page":"838"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9958000183105469,"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/T10237","display_name":"Cryptography and Data Security","score":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8761929273605347},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.47955819964408875},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4577857255935669},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4048040509223938},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3607509434223175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8761929273605347},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.47955819964408875},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4577857255935669},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4048040509223938},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3607509434223175}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tifs.2024.3516564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2024.3516564","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","raw_type":"journal-article"},{"id":"pmh:oai:ris.utwente.nl:openaire/5b68a6b7-f330-4500-885f-8b223bec0206","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/5b68a6b7-f330-4500-885f-8b223bec0206","pdf_url":"https://ris.utwente.nl/ws/files/479686805/Provable_Privacy_Advantages_of_Decentralized_Federated_Learning_via_Distributed_Optimization.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Yu, W, Li, Q, Lopuhaa-Zwakenberg, M, Christensen, M G & Heusdens, R 2024, 'Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization', IEEE transactions on information forensics and security, vol. 20, pp. 822-838. https://doi.org/10.1109/TIFS.2024.3516564","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pure.atira.dk:publications/ec1d15b9-6ca0-4189-87f4-94eea12ca7cc","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/ec1d15b9-6ca0-4189-87f4-94eea12ca7cc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Yu, W, Li, Q, Lopuhaa-Zwakenberg, M, Gr\u00e6sb\u00f8ll Christensen, M & Heusdens, R 2024, 'Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization', IEEE Transactions on Information Forensics and Security, vol. 20, pp. 822-838. https://doi.org/10.1109/TIFS.2024.3516564","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:ris.utwente.nl:openaire/5b68a6b7-f330-4500-885f-8b223bec0206","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/5b68a6b7-f330-4500-885f-8b223bec0206","pdf_url":"https://ris.utwente.nl/ws/files/479686805/Provable_Privacy_Advantages_of_Decentralized_Federated_Learning_via_Distributed_Optimization.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Yu, W, Li, Q, Lopuhaa-Zwakenberg, M, Christensen, M G & Heusdens, R 2024, 'Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization', IEEE transactions on information forensics and security, vol. 20, pp. 822-838. https://doi.org/10.1109/TIFS.2024.3516564","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405304342.pdf","grobid_xml":"https://content.openalex.org/works/W4405304342.grobid-xml"},"referenced_works_count":79,"referenced_works":["https://openalex.org/W1556911442","https://openalex.org/W1616857247","https://openalex.org/W1686810756","https://openalex.org/W1873763122","https://openalex.org/W1979170109","https://openalex.org/W1982545958","https://openalex.org/W2007339694","https://openalex.org/W2092148937","https://openalex.org/W2112796928","https://openalex.org/W2120286056","https://openalex.org/W2133665775","https://openalex.org/W2161195135","https://openalex.org/W2172813797","https://openalex.org/W2515654213","https://openalex.org/W2535690855","https://openalex.org/W2590701476","https://openalex.org/W2793035944","https://openalex.org/W2795435272","https://openalex.org/W2801430124","https://openalex.org/W2910589063","https://openalex.org/W2911978475","https://openalex.org/W2950111746","https://openalex.org/W2963395927","https://openalex.org/W2963456518","https://openalex.org/W2964162474","https://openalex.org/W2969231791","https://openalex.org/W2970408908","https://openalex.org/W2972934812","https://openalex.org/W2981154311","https://openalex.org/W2985580374","https://openalex.org/W2989885118","https://openalex.org/W3000095577","https://openalex.org/W3000479830","https://openalex.org/W3009474153","https://openalex.org/W3014541599","https://openalex.org/W3018397821","https://openalex.org/W3021654819","https://openalex.org/W3022767088","https://openalex.org/W3035616549","https://openalex.org/W3047212814","https://openalex.org/W3081237964","https://openalex.org/W3088273839","https://openalex.org/W3092535286","https://openalex.org/W3093470984","https://openalex.org/W3099542802","https://openalex.org/W3100231902","https://openalex.org/W3118608800","https://openalex.org/W3120014112","https://openalex.org/W3126909561","https://openalex.org/W3161357657","https://openalex.org/W3169973331","https://openalex.org/W3175192640","https://openalex.org/W4225544507","https://openalex.org/W4229083957","https://openalex.org/W4282813353","https://openalex.org/W4292363360","https://openalex.org/W4298840580","https://openalex.org/W4313396675","https://openalex.org/W4313459321","https://openalex.org/W4317796234","https://openalex.org/W4385080416","https://openalex.org/W4389776700","https://openalex.org/W6602201320","https://openalex.org/W6637373629","https://openalex.org/W6728757088","https://openalex.org/W6730009442","https://openalex.org/W6738250615","https://openalex.org/W6748632073","https://openalex.org/W6767074001","https://openalex.org/W6773039429","https://openalex.org/W6774804355","https://openalex.org/W6775482175","https://openalex.org/W6776213126","https://openalex.org/W6784417416","https://openalex.org/W6802490538","https://openalex.org/W6803316053","https://openalex.org/W6810700234","https://openalex.org/W6810982815","https://openalex.org/W6838838835"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Federated":[0],"learning":[1],"(FL)":[2],"emerged":[3],"as":[4,23],"a":[5,24,114,174],"paradigm":[6],"designed":[7],"to":[8,15,65,88,161,211,271],"improve":[9],"data":[10,14],"privacy":[11,22,53,79,95,118,136,146,240,255,272],"by":[12,38,112,154],"enabling":[13],"reside":[16],"at":[17],"its":[18],"source,":[19],"thus":[20],"embedding":[21],"core":[25],"consideration":[26],"in":[27,148,157,244],"FL":[28,46,107,150,180,267],"architectures,":[29],"whether":[30],"centralized":[31,58,89,158,163],"or":[32,54],"decentralized.":[33],"Contrasting":[34],"with":[35,220,275],"recent":[36],"findings":[37],"Pasquini":[39],"et":[40],"al.,":[41],"which":[42],"suggest":[43],"that":[44,70,144,182,238,265],"decentralized":[45,71,149,179,258,266],"does":[47],"not":[48],"empirically":[49,85],"offer":[50],"any":[51],"additional":[52],"security":[55],"benefits":[56],"over":[57,191,202],"models,":[59,131,246],"our":[60,217,276],"study":[61],"provides":[62,77],"compelling":[63],"evidence":[64],"the":[66,103,145,155,162,183,195,203,208],"contrary.":[67],"We":[68,109],"demonstrate":[69,237],"FL,":[72],"when":[73],"deploying":[74],"distributed":[75],"optimization,":[76],"enhanced":[78],"protection":[80],"-":[81,86],"both":[82,121,126],"theoretically":[83,143],"and":[84,128,194,231],"compared":[87],"approaches.":[90],"The":[91],"challenge":[92],"of":[93,106,168,177,188,198],"quantifying":[94],"loss":[96,147,156],"through":[97],"iterative":[98],"processes":[99],"has":[100],"traditionally":[101],"constrained":[102],"theoretical":[104,218,277],"exploration":[105],"protocols.":[108],"overcome":[110],"this":[111],"conducting":[113],"pioneering":[115],"in-depth":[116],"information-theoretical":[117],"analysis":[119],"for":[120],"frameworks.":[122],"Our":[123],"analysis,":[124],"considering":[125],"eavesdropping":[127],"passive":[129],"adversary":[130],"successfully":[132],"establishes":[133],"bounds":[134],"on":[135],"leakage.":[137],"In":[138],"particular,":[139],"we":[140,223],"show":[141],"information":[142,185,206],"is":[151,181,268],"upper":[152],"bounded":[153],"FL.":[159,259],"Compared":[160],"case":[164,226],"where":[165],"local":[166,189],"gradients":[167,190,201],"individual":[169],"participants":[170],"are":[171],"directly":[172],"revealed,":[173],"key":[175],"distinction":[176],"optimization-based":[178],"relevant":[184],"includes":[186],"differences":[187],"successive":[192],"iterations":[193],"aggregated":[196],"sum":[197],"different":[199],"nodes\u2019":[200],"network.":[204],"This":[205],"complicates":[207],"adversary\u2019s":[209],"attempt":[210],"infer":[212],"private":[213],"data.":[214],"To":[215],"bridge":[216],"insights":[219],"practical":[221],"applications,":[222],"present":[224],"detailed":[225],"studies":[227],"involving":[228],"logistic":[229],"regression":[230],"deep":[232,250],"neural":[233,251],"networks.":[234],"These":[235],"examples":[236],"while":[239],"leakage":[241],"remains":[242],"comparable":[243],"simpler":[245],"complex":[247],"models":[248],"like":[249],"networks":[252],"exhibit":[253],"lower":[254],"risks":[256],"under":[257],"Extensive":[260],"numerical":[261],"tests":[262],"further":[263],"validate":[264],"more":[269],"resistant":[270],"attacks,":[273],"aligning":[274],"findings.":[278]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}