{"id":"https://openalex.org/W4402352391","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650657","title":"FedLRDP: Federated Learning Framework with Local Random Differential Privacy","display_name":"FedLRDP: Federated Learning Framework with Local Random Differential Privacy","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352391","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650657"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650657","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5107541607","display_name":"Runtian Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Runtian Zhou","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China,250014"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China,250014","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058696702","display_name":"Anming Dong","orcid":"https://orcid.org/0000-0001-7470-5159"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anming Dong","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China,250014"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China,250014","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624236","display_name":"Jiguo Yu","orcid":"https://orcid.org/0000-0001-6451-1158"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiguo Yu","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Big Data Institute,Jinan,China,250014"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Big Data Institute,Jinan,China,250014","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020371996","display_name":"Qingyan Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyan Ding","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China,250014"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China,250014","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5107541607"],"corresponding_institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1292826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9987999796867371,"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":0.9897000193595886,"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/differential-privacy","display_name":"Differential privacy","score":0.9070830941200256},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7430939078330994},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.43616044521331787},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4105275571346283},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.36483699083328247},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19788292050361633}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.9070830941200256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7430939078330994},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.43616044521331787},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4105275571346283},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.36483699083328247},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19788292050361633},{"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/ijcnn60899.2024.10650657","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320328720","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2911978475","https://openalex.org/W2963819344","https://openalex.org/W2964881778","https://openalex.org/W3012501605","https://openalex.org/W3014517104","https://openalex.org/W3014538993","https://openalex.org/W3016632787","https://openalex.org/W3021654819","https://openalex.org/W3027749727","https://openalex.org/W3086590218","https://openalex.org/W3088648627","https://openalex.org/W3102834148","https://openalex.org/W3123459983","https://openalex.org/W3135231128","https://openalex.org/W3146591378","https://openalex.org/W3192324887","https://openalex.org/W3197624037","https://openalex.org/W3207415078","https://openalex.org/W4200245155","https://openalex.org/W4206573848","https://openalex.org/W4285196740","https://openalex.org/W4360620450","https://openalex.org/W6728757088","https://openalex.org/W6795487366"],"related_works":["https://openalex.org/W2584827882","https://openalex.org/W2538581760","https://openalex.org/W3195097297","https://openalex.org/W4225340788","https://openalex.org/W3038106605","https://openalex.org/W2513267613","https://openalex.org/W3049084372","https://openalex.org/W2528109871","https://openalex.org/W2940702331","https://openalex.org/W2905822832"],"abstract_inverted_index":{"Federated":[0],"learning":[1,7,104],"(FL)":[2],"is":[3],"a":[4,15,102,178,201],"distributed":[5],"machine":[6],"framework":[8,105],"enabling":[9],"multiple":[10],"clients":[11],"to":[12,26,58,89,118,140,170,196],"collaboratively":[13],"train":[14],"shared":[16,59],"ML":[17],"model":[18,60,69,128,142,165,191,221],"without":[19],"sharing":[20],"raw":[21],"data.":[22],"Despite":[23],"its":[24,153],"aim":[25],"safeguard":[27],"data":[28,132],"security":[29],"and":[30,73,93],"privacy,":[31],"FL":[32],"faces":[33],"risks":[34],"from":[35],"advanced":[36],"adversarial":[37],"attacks":[38],"like":[39],"membership":[40],"inference":[41],"attack":[42,181,204],"(MIA),":[43],"potentially":[44],"leaking":[45],"sensitive":[46],"information.":[47],"To":[48,96],"counter":[49],"these":[50,98],"threats,":[51],"differential":[52,110],"privacy":[53,74,92,111,125,217],"(DP)":[54],"methods":[55,65,173],"add":[56],"noise":[57,120],"parameters.":[61],"However,":[62],"traditional":[63,171,197],"DP":[64,84,172,198],"struggle":[66],"with":[67,177],"balancing":[68],"accuracy,":[70],"training":[71],"efficiency,":[72],"protection,":[75],"often":[76],"compromising":[77],"one":[78],"for":[79,150],"the":[80,147],"other.":[81],"Additionally,":[82],"uniform":[83],"mechanisms":[85],"may":[86],"not":[87],"cater":[88],"varying":[90],"client":[91,117,216],"performance":[94,129],"needs.":[95],"tackle":[97],"challenges,":[99],"we":[100],"propose":[101],"federated":[103],"based":[106,122],"on":[107,123,159,187],"localized":[108],"random":[109],"(FedLRDP).":[112],"This":[113],"approach":[114],"empowers":[115],"each":[116],"control":[119],"levels":[121],"their":[124],"requirements,":[126],"enhancing":[127,220],"while":[130,174,219],"preserving":[131],"privacy.":[133],"We":[134],"further":[135],"optimize":[136],"client-side":[137],"loss":[138],"functions":[139],"enhance":[141],"performance.":[143,156,222],"Theoretical":[144],"analysis":[145],"establishes":[146],"convergence":[148,155],"bounds":[149],"FedLRDP,":[151],"demonstrating":[152],"superior":[154],"Experimental":[157],"results":[158],"MNIST":[160],"reveal":[161],"that":[162],"FedLRDP":[163,189],"improves":[164],"accuracy":[166,192],"by":[167,193],"3.28%":[168],"compared":[169,195],"mitigating":[175],"MIA":[176],"72.48%":[179],"lower":[180,203],"success":[182,205],"rate":[183,206],"than":[184,207],"FedAvg.":[185,208],"Moreover,":[186],"EMNIST,":[188],"boosts":[190],"7.31%":[194],"methods,":[199],"maintaining":[200],"59.4%":[202],"These":[209],"findings":[210],"underscore":[211],"FedLRDP\u2019s":[212],"efficacy":[213],"in":[214],"meeting":[215],"needs":[218]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}