{"id":"https://openalex.org/W4403936788","doi":"https://doi.org/10.1109/tetci.2024.3485723","title":"Enhancing Accuracy-Privacy Trade-Off in Differentially Private Split Learning","display_name":"Enhancing Accuracy-Privacy Trade-Off in Differentially Private Split Learning","publication_year":2024,"publication_date":"2024-10-31","ids":{"openalex":"https://openalex.org/W4403936788","doi":"https://doi.org/10.1109/tetci.2024.3485723"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2024.3485723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3485723","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","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/A5101644358","display_name":"Ngoc Duy Pham","orcid":"https://orcid.org/0000-0003-3022-2205"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]},{"id":"https://openalex.org/I4210123993","display_name":"Van Lang University","ror":"https://ror.org/02ryrf141","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210123993"]}],"countries":["AU","VN"],"is_corresponding":false,"raw_author_name":"Ngoc Duy Pham","raw_affiliation_strings":["Faculty of Information Technology, School of Technology, Van Lang University, Ho Chi Minh, Vietnam","School of Computing, Engineering, and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0003-3022-2205","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, School of Technology, Van Lang University, Ho Chi Minh, Vietnam","institution_ids":["https://openalex.org/I4210123993"]},{"raw_affiliation_string":"School of Computing, Engineering, and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047541214","display_name":"Khoa T. Phan","orcid":"https://orcid.org/0000-0003-0471-9402"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Khoa T. Phan","raw_affiliation_strings":["School of Computing, Engineering, and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0003-0471-9402","affiliations":[{"raw_affiliation_string":"School of Computing, Engineering, and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033056152","display_name":"Naveen Chilamkurti","orcid":"https://orcid.org/0000-0002-5396-8897"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Naveen Chilamkurti","raw_affiliation_strings":["School of Computing, Engineering, and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5396-8897","affiliations":[{"raw_affiliation_string":"School of Computing, Engineering, and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I196829312"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9077,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91893803,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9","issue":"1","first_page":"988","last_page":"1000"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9958000183105469,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9850999712944031,"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/internet-privacy","display_name":"Internet privacy","score":0.5305718779563904},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47652921080589294},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.4176154136657715},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.35474276542663574}],"concepts":[{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.5305718779563904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47652921080589294},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.4176154136657715},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.35474276542663574}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2024.3485723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3485723","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","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":37,"referenced_works":["https://openalex.org/W2060277733","https://openalex.org/W2112796928","https://openalex.org/W2133665775","https://openalex.org/W2141200610","https://openalex.org/W2535690855","https://openalex.org/W2535838896","https://openalex.org/W2809414288","https://openalex.org/W2910121883","https://openalex.org/W2911978475","https://openalex.org/W2963080724","https://openalex.org/W2963209930","https://openalex.org/W2989885118","https://openalex.org/W3011434423","https://openalex.org/W3031648392","https://openalex.org/W3084432478","https://openalex.org/W3091884625","https://openalex.org/W3115278118","https://openalex.org/W3129519326","https://openalex.org/W3135345339","https://openalex.org/W3180608480","https://openalex.org/W4226434777","https://openalex.org/W4293514802","https://openalex.org/W4294679204","https://openalex.org/W4296411155","https://openalex.org/W4365801624","https://openalex.org/W4375928586","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6640036494","https://openalex.org/W6695676441","https://openalex.org/W6726497184","https://openalex.org/W6756436328","https://openalex.org/W6776489473","https://openalex.org/W6787972765","https://openalex.org/W6794124026","https://openalex.org/W6846167829","https://openalex.org/W6876440202"],"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":{"Split":[0],"learning":[1],"(SL)":[2],"aims":[3],"to":[4,32,62,118,131,137,180,187],"protect":[5],"user":[6],"data":[7,19,25,48,72,186,189,201],"privacy":[8,54,65,99,250],"by":[9],"distributing":[10],"deep":[11],"models":[12],"between":[13,143,164],"the":[14,30,33,36,70,74,83,87,108,120,127,132,141,148,155,160,173,182,196,210,216,242],"client-server":[15],"and":[16,145,166],"keeping":[17],"private":[18],"locally.":[20],"Only":[21],"processed":[22],"or":[23],"\u2018smashed\u2019":[24],"can":[26,45],"be":[27],"transmitted":[28],"from":[29,49,169],"clients":[31,94,114],"server":[34],"during":[35,115],"SL":[37,96,136,247],"process.":[38],"However,":[39],"recently":[40],"proposed":[41,229],"model":[42,134],"inversion":[43],"attacks":[44],"recover":[46],"original":[47],"smashed":[50,71,185,200],"data.":[51],"To":[52],"enhance":[53],"protection":[55],"against":[56],"such":[57],"attacks,":[58],"one":[59,214],"strategy":[60],"is":[61],"adopt":[63],"differential":[64],"(DP),":[66],"which":[67],"involves":[68],"safeguarding":[69],"at":[73],"expense":[75],"of":[76,112,129,135,184,202,215,219],"some":[77],"accuracy":[78,90,122,144,165,244],"loss.":[79],"This":[80],"paper":[81],"presents":[82],"first":[84],"investigation":[85],"into":[86,140,238],"impact":[88],"on":[89,209,223],"when":[91],"training":[92,117,243],"multiple":[93],"in":[95,154,172],"with":[97,248],"various":[98,224],"requirements.":[100,251],"Subsequently,":[101],"we":[102,176],"propose":[103,177],"an":[104,178,232],"approach":[105,179],"that":[106,151,227],"reviews":[107],"DP":[109,130,237],"noise":[110,153],"distributions":[111],"other":[113],"client":[116,211],"address":[119],"identified":[121],"degradation.":[123],"We":[124],"also":[125],"examine":[126],"application":[128],"local":[133,157],"gain":[138],"insights":[139,171],"trade-off":[142,234],"privacy.":[146,167],"Specifically,":[147],"findings":[149],"reveal":[150],"introducing":[152],"later":[156],"layers":[158],"offers":[159],"most":[161],"favorable":[162],"balance":[163],"Drawing":[168],"our":[170,228],"shallower":[174],"layers,":[175],"reduce":[181],"size":[183,205],"minimize":[188],"leakage":[190],"while":[191],"maintaining":[192],"higher":[193],"accuracy,":[194],"optimizing":[195],"accuracy-privacy":[197],"trade-off.":[198],"Additionally,":[199],"a":[203],"smaller":[204],"reduces":[206],"communication":[207],"overhead":[208],"side,":[212],"mitigating":[213],"notable":[217],"drawbacks":[218],"SL.":[220],"Intensive":[221],"experiments":[222],"datasets":[225],"demonstrate":[226],"approaches":[230],"provide":[231],"optimal":[233],"for":[235,245],"incorporating":[236],"SL,":[239],"ultimately":[240],"enhancing":[241],"multi-client":[246],"varying":[249]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}
