{"id":"https://openalex.org/W4381744161","doi":"https://doi.org/10.1109/cscwd57460.2023.10152630","title":"Dynamic Privacy-Enhanced Federated Learning Algorithm Based on Gradients Perturbation","display_name":"Dynamic Privacy-Enhanced Federated Learning Algorithm Based on Gradients Perturbation","publication_year":2023,"publication_date":"2023-05-24","ids":{"openalex":"https://openalex.org/W4381744161","doi":"https://doi.org/10.1109/cscwd57460.2023.10152630"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd57460.2023.10152630","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd57460.2023.10152630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5064909561","display_name":"Yuhao Zhao","orcid":"https://orcid.org/0009-0009-3802-8694"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuhao Zhao","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,School of Internet of Things,Nanjing,China","School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,School of Internet of Things,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101672561","display_name":"Siguang Chen","orcid":"https://orcid.org/0000-0002-9366-6498"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siguang Chen","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,School of Internet of Things,Nanjing,China","School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,School of Internet of Things,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064909561"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.1748,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.533484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"161","last_page":"166"},"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":0.9758999943733215,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.921500027179718,"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":0.7906342148780823},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.6549779176712036},{"id":"https://openalex.org/keywords/leakage","display_name":"Leakage (economics)","score":0.5520911812782288},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5261996388435364},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.49716809391975403},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.4861557185649872},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.44361525774002075},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.441837877035141},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4023168981075287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.385068416595459},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35538744926452637},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16290372610092163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7906342148780823},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.6549779176712036},{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.5520911812782288},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5261996388435364},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.49716809391975403},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.4861557185649872},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.44361525774002075},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.441837877035141},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4023168981075287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.385068416595459},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35538744926452637},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16290372610092163},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd57460.2023.10152630","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd57460.2023.10152630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335471","display_name":"Jiangsu Planned Projects for Postdoctoral Research Funds","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2606882085","https://openalex.org/W2767079719","https://openalex.org/W2773773675","https://openalex.org/W2903890850","https://openalex.org/W2970408908","https://openalex.org/W3000479830","https://openalex.org/W3015535799","https://openalex.org/W3016632787","https://openalex.org/W3027749727","https://openalex.org/W3091870957","https://openalex.org/W3157850870","https://openalex.org/W3172312230","https://openalex.org/W3203780767","https://openalex.org/W3214878825","https://openalex.org/W4310918004","https://openalex.org/W4313491442","https://openalex.org/W4316661311","https://openalex.org/W6728757088","https://openalex.org/W6746839373","https://openalex.org/W6747855403","https://openalex.org/W6773039429","https://openalex.org/W6775563089"],"related_works":["https://openalex.org/W4286971788","https://openalex.org/W3199340467","https://openalex.org/W3157608626","https://openalex.org/W3132132958","https://openalex.org/W4321612632","https://openalex.org/W4322580403","https://openalex.org/W4399147128","https://openalex.org/W3193217249","https://openalex.org/W4280591108","https://openalex.org/W3021849752"],"abstract_inverted_index":{"Federated":[0],"learning":[1,7,63],"(FL)":[2],"is":[3],"an":[4],"emerging":[5],"distributed":[6],"framework":[8],"that":[9,100,182],"can":[10,140,189],"reduce":[11],"privacy":[12,25,50,150],"leakage":[13,26,147],"risks":[14],"by":[15,90,103,122,126,169],"not":[16],"explicitly":[17],"sharing":[18],"private":[19],"data,":[20,82,164],"but":[21,42],"FL":[22,30],"still":[23],"has":[24,196],"issues.":[27],"Recently,":[28],"many":[29],"security":[31,205],"schemes":[32],"were":[33],"proposed":[34,185],"to":[35,69,155,159],"improve":[36],"the":[37,92,108,116,143,179,183],"protection":[38,200],"capabilities":[39],"of":[40,75,80,87,162,172],"FL,":[41],"they":[43],"cannot":[44],"realize":[45],"a":[46,59],"desirable":[47],"tradeoff":[48],"between":[49,94,110],"and":[51,97,106,112,128,148,194],"model":[52,138],"performance.":[53],"In":[54],"this":[55,187],"work,":[56],"we":[57,83,165],"propose":[58],"dynamic":[60,117,135],"privacy-enhanced":[61],"federated":[62],"algorithm":[64,184],"based":[65],"on":[66],"gradients":[67,119,124,168,174],"perturbation":[68],"solve":[70],"above":[71],"issue.":[72],"First,":[73],"instead":[74],"directly":[76],"using":[77],"original":[78,111,127,144],"feature":[79,86,130],"training":[81,88,95,139,145,163],"generate":[84],"new":[85,104,113,129],"data":[89,96,99,146],"maximizing":[91],"distance":[93,109],"resulting":[98],"inverse":[101],"mapping":[102],"feature,":[105],"minimizing":[107],"feature.":[114],"Next,":[115],"mixed":[118,136,167],"are":[120],"obtained":[121],"combining":[123],"generated":[125],"with":[131,203],"variable":[132],"weights.":[133],"The":[134],"gradients-based":[137],"effectively":[141,190],"prevent":[142],"adjust":[149],"preservation":[151],"strength":[152],"adaptively.":[153],"Furthermore,":[154],"make":[156],"iDLG":[157,192],"difficult":[158],"infer":[160],"labels":[161],"perturb":[166],"transforming":[170],"part":[171],"positive":[173],"into":[175],"negative":[176],"gradients.":[177],"Finally,":[178],"experiments":[180],"demonstrate":[181],"in":[186,199],"paper":[188],"resist":[191],"attack,":[193],"it":[195],"significant":[197],"advantages":[198],"effect":[201],"compared":[202],"other":[204],"schemes.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}