{"id":"https://openalex.org/W4365790479","doi":"https://doi.org/10.1109/tifs.2023.3266919","title":"Long-Term Privacy-Preserving Aggregation With User-Dynamics for Federated Learning","display_name":"Long-Term Privacy-Preserving Aggregation With User-Dynamics for Federated Learning","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4365790479","doi":"https://doi.org/10.1109/tifs.2023.3266919"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2023.3266919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2023.3266919","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101492724","display_name":"Ziyao Liu","orcid":"https://orcid.org/0000-0003-4060-0839"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ziyao Liu","raw_affiliation_strings":["Huawei International, Kwai Chung, Singapore","School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-4060-0839","affiliations":[{"raw_affiliation_string":"Huawei International, Kwai Chung, Singapore","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038873086","display_name":"Hsiao-Ying Lin","orcid":"https://orcid.org/0000-0002-7559-9340"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hsiao-Ying Lin","raw_affiliation_strings":["Huawei International, Kwai Chung, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-7559-9340","affiliations":[{"raw_affiliation_string":"Huawei International, Kwai Chung, Singapore","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100726803","display_name":"Yamin Liu","orcid":"https://orcid.org/0000-0003-4659-3529"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yamin Liu","raw_affiliation_strings":["Huawei International, Kwai Chung, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei International, Kwai Chung, Singapore","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3311,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.93215188,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"18","issue":null,"first_page":"2398","last_page":"2412"},"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/T10237","display_name":"Cryptography and Data Security","score":0.9929999709129333,"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":0.9610999822616577,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8652839064598083},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.6189543008804321},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.600939154624939},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5710892677307129},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5163280367851257},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4831809103488922},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.4580281376838684},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.34358882904052734},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.28945839405059814},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16649281978607178},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.13275787234306335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8652839064598083},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.6189543008804321},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.600939154624939},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5710892677307129},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5163280367851257},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4831809103488922},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.4580281376838684},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.34358882904052734},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.28945839405059814},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16649281978607178},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.13275787234306335},{"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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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":1,"locations":[{"id":"doi:10.1109/tifs.2023.3266919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2023.3266919","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W2031533839","https://openalex.org/W2108598243","https://openalex.org/W2154579312","https://openalex.org/W2164530213","https://openalex.org/W2194775991","https://openalex.org/W2767079719","https://openalex.org/W2781091734","https://openalex.org/W2912213068","https://openalex.org/W2955213239","https://openalex.org/W2964261135","https://openalex.org/W2970408908","https://openalex.org/W2974175488","https://openalex.org/W2994111940","https://openalex.org/W3008493372","https://openalex.org/W3013310637","https://openalex.org/W3045303630","https://openalex.org/W3088123628","https://openalex.org/W3096328345","https://openalex.org/W3106378891","https://openalex.org/W3107632872","https://openalex.org/W3108146280","https://openalex.org/W3110845456","https://openalex.org/W3111015719","https://openalex.org/W3118608800","https://openalex.org/W3138090943","https://openalex.org/W3138597937","https://openalex.org/W3159543278","https://openalex.org/W3164712068","https://openalex.org/W3167871316","https://openalex.org/W3168104141","https://openalex.org/W3173677040","https://openalex.org/W3178386862","https://openalex.org/W3180608480","https://openalex.org/W3192072825","https://openalex.org/W3202746938","https://openalex.org/W3204600422","https://openalex.org/W3206152539","https://openalex.org/W3212079419","https://openalex.org/W3213000374","https://openalex.org/W4205228770","https://openalex.org/W4206055738","https://openalex.org/W4210485920","https://openalex.org/W4212797794","https://openalex.org/W4226049484","https://openalex.org/W4226310479","https://openalex.org/W4287120654","https://openalex.org/W4287931873","https://openalex.org/W4311331514","https://openalex.org/W4312551589","https://openalex.org/W4312797494","https://openalex.org/W4400748447","https://openalex.org/W6682751323","https://openalex.org/W6764838729","https://openalex.org/W6765541894","https://openalex.org/W6781164014","https://openalex.org/W6783183097","https://openalex.org/W6787102994","https://openalex.org/W6787972765","https://openalex.org/W6796096428","https://openalex.org/W6796373217","https://openalex.org/W6802092787","https://openalex.org/W6802201353","https://openalex.org/W6802757360","https://openalex.org/W6808462301","https://openalex.org/W6840527761"],"related_works":["https://openalex.org/W3038283795","https://openalex.org/W2604501336","https://openalex.org/W2734500670","https://openalex.org/W2558166297","https://openalex.org/W2315671126","https://openalex.org/W798507144","https://openalex.org/W2964481303","https://openalex.org/W1751413323","https://openalex.org/W2571704763","https://openalex.org/W2138505526"],"abstract_inverted_index":{"Privacy-preserving":[0],"aggregation":[1,39,84,129],"protocol":[2,86,146],"is":[3],"an":[4,172,185],"essential":[5],"building":[6],"block":[7],"in":[8,48],"privacy-enhanced":[9],"federated":[10],"learning":[11],"(FL),":[12],"which":[13,119],"enables":[14,103],"the":[15,19,35,70,126,134,141,169],"server":[16],"to":[17,64,69,108,166],"obtain":[18],"sum":[20],"of":[21,34,136,168,175],"users\u2019":[22],"locally":[23],"trained":[24],"models":[25],"while":[26],"keeping":[27],"local":[28],"training":[29],"data":[30],"private.":[31],"However,":[32],"most":[33],"work":[36],"on":[37,140],"privacy-preserving":[38,83,128],"provides":[40,163],"privacy":[41,92,111,144,188],"guarantees":[42],"for":[43,179],"only":[44,177],"one":[45],"communication":[46],"round":[47],"FL.":[49],"In":[50,76],"fact,":[51],"as":[52],"FL":[53,106,149,182],"usually":[54],"involves":[55],"long-term":[56,82,187],"training,":[57],"i.e.,":[58,171],"multiple":[59],"rounds,":[60],"it":[61],"may":[62],"lead":[63],"more":[65],"information":[66],"leakages":[67],"due":[68],"dynamic":[71],"user":[72],"participation":[73],"over":[74],"rounds.":[75],"this":[77],"connection,":[78],"we":[79,95,114,132],"propose":[80],"a":[81,180],"(LTPA)":[85],"providing":[87],"both":[88,153],"single-round":[89],"and":[90,148,155],"multi-round":[91,110],"guarantees.":[93,112],"Specifically,":[94],"first":[96],"introduce":[97],"our":[98,116,121],"batch-partitioning-dropping-updating":[99],"(BPDU)":[100],"strategy":[101,124],"that":[102,161,167],"any":[104],"user-dynamic":[105],"system":[107],"provide":[109],"Then":[113],"present":[115],"LTPA":[117,137,162],"construction":[118],"integrates":[120],"proposed":[122],"BPDU":[123],"with":[125,184],"state-of-the-art":[127],"protocol.":[130],"Furthermore,":[131],"investigate":[133],"impact":[135],"parameter":[138],"settings":[139],"trade-off":[142],"between":[143],"guarantee,":[145],"efficiency,":[147],"convergence":[150],"performance":[151],"from":[152],"theoretical":[154],"experimental":[156],"perspectives.":[157],"Experimental":[158],"results":[159],"show":[160],"similar":[164],"complexity":[165],"state-of-the-art,":[170],"additional":[173,186],"cost":[174],"around":[176],"1.04X":[178],"100,000-user":[181],"system,":[183],"guarantee.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}