{"id":"https://openalex.org/W4403734429","doi":"https://doi.org/10.3390/computers13110277","title":"Balancing Privacy and Performance: A Differential Privacy Approach in Federated Learning","display_name":"Balancing Privacy and Performance: A Differential Privacy Approach in Federated Learning","publication_year":2024,"publication_date":"2024-10-24","ids":{"openalex":"https://openalex.org/W4403734429","doi":"https://doi.org/10.3390/computers13110277"},"language":"en","primary_location":{"id":"doi:10.3390/computers13110277","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers13110277","pdf_url":null,"source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/computers13110277","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054131720","display_name":"Huda Kadhim Tayyeh","orcid":"https://orcid.org/0000-0003-2484-1675"},"institutions":[{"id":"https://openalex.org/I4210119257","display_name":"University of Information Technology and Communications","ror":"https://ror.org/028h0pd91","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4210119257"]}],"countries":["IQ"],"is_corresponding":true,"raw_author_name":"Huda Kadhim Tayyeh","raw_affiliation_strings":["Department of Informatics Systems Management, College of Business Informatics, University of Information Technology and Communications, Baghdad 10091, Iraq"],"affiliations":[{"raw_affiliation_string":"Department of Informatics Systems Management, College of Business Informatics, University of Information Technology and Communications, Baghdad 10091, Iraq","institution_ids":["https://openalex.org/I4210119257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080565100","display_name":"Ahmed Sabah Ahmed AL-Jumaili","orcid":"https://orcid.org/0000-0002-3443-0725"},"institutions":[{"id":"https://openalex.org/I4210119257","display_name":"University of Information Technology and Communications","ror":"https://ror.org/028h0pd91","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4210119257"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Ahmed Sabah Ahmed AL-Jumaili","raw_affiliation_strings":["Department of Businesses Information Technology, College of Business Informatics, University of Information Technology and Communications, Baghdad 10091, Iraq"],"affiliations":[{"raw_affiliation_string":"Department of Businesses Information Technology, College of Business Informatics, University of Information Technology and Communications, Baghdad 10091, Iraq","institution_ids":["https://openalex.org/I4210119257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054131720"],"corresponding_institution_ids":["https://openalex.org/I4210119257"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":3.7399,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.94093533,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"13","issue":"11","first_page":"277","last_page":"277"},"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9868000149726868,"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":0.9179536700248718},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6521749496459961},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.64432692527771},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5210663676261902},{"id":"https://openalex.org/keywords/privacy-software","display_name":"Privacy software","score":0.517273485660553},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.45221248269081116},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.435515820980072},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3910250663757324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1724291443824768},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1635831892490387}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.9179536700248718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6521749496459961},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.64432692527771},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5210663676261902},{"id":"https://openalex.org/C509729295","wikidata":"https://www.wikidata.org/wiki/Q7246032","display_name":"Privacy software","level":3,"score":0.517273485660553},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.45221248269081116},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.435515820980072},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3910250663757324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1724291443824768},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1635831892490387}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/computers13110277","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers13110277","pdf_url":null,"source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9a7ed36d979c4238aa244edca5e0b256","is_oa":true,"landing_page_url":"https://doaj.org/article/9a7ed36d979c4238aa244edca5e0b256","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computers, Vol 13, Iss 11, p 277 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/computers13110277","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers13110277","pdf_url":null,"source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1873763122","https://openalex.org/W2269732564","https://openalex.org/W2941718377","https://openalex.org/W2978663651","https://openalex.org/W2995191368","https://openalex.org/W3010012151","https://openalex.org/W3012501605","https://openalex.org/W3016632787","https://openalex.org/W3040552057","https://openalex.org/W3081273427","https://openalex.org/W3086579950","https://openalex.org/W3086590218","https://openalex.org/W3087704775","https://openalex.org/W3093875170","https://openalex.org/W3097060730","https://openalex.org/W3101073882","https://openalex.org/W3152625084","https://openalex.org/W3158350046","https://openalex.org/W3164712068","https://openalex.org/W3175168574","https://openalex.org/W3179381670","https://openalex.org/W3185162399","https://openalex.org/W3197965075","https://openalex.org/W3200840849","https://openalex.org/W3213574824","https://openalex.org/W3215776046","https://openalex.org/W4200095019","https://openalex.org/W4200261849","https://openalex.org/W4200390322","https://openalex.org/W4206038141","https://openalex.org/W4210630464","https://openalex.org/W4226082367","https://openalex.org/W4226524907","https://openalex.org/W4293155325","https://openalex.org/W4306688887","https://openalex.org/W4307454782","https://openalex.org/W4307549724","https://openalex.org/W4308360268","https://openalex.org/W4309080560","https://openalex.org/W4310379539","https://openalex.org/W4313489964","https://openalex.org/W4315477063","https://openalex.org/W4322580403","https://openalex.org/W4323363023","https://openalex.org/W4365520150","https://openalex.org/W4380320500","https://openalex.org/W4387350619","https://openalex.org/W4389292332","https://openalex.org/W6850277015"],"related_works":["https://openalex.org/W3022534164","https://openalex.org/W2116878667","https://openalex.org/W4396832952","https://openalex.org/W3013058036","https://openalex.org/W3015944045","https://openalex.org/W4225340788","https://openalex.org/W1591172238","https://openalex.org/W2951971312","https://openalex.org/W2972172135","https://openalex.org/W4300474583"],"abstract_inverted_index":{"Federated":[0],"learning":[1],"(FL),":[2],"a":[3,20,27,71,169],"decentralized":[4],"approach":[5,185],"to":[6,125,163],"machine":[7],"learning,":[8],"facilitates":[9],"model":[10],"training":[11,78],"across":[12],"multiple":[13],"devices,":[14],"ensuring":[15],"data":[16,93],"privacy.":[17],"However,":[18],"achieving":[19],"delicate":[21],"privacy":[22,53,122,155,165],"preservation\u2013model":[23],"convergence":[24,150],"balance":[25,36,198],"remains":[26],"major":[28],"problem.":[29],"Understanding":[30],"how":[31],"different":[32],"hyperparameters":[33],"affect":[34],"this":[35],"is":[37],"crucial":[38],"for":[39],"optimizing":[40],"FL":[41,187],"systems.":[42],"This":[43],"article":[44],"examines":[45],"the":[46,52,60,99,107,112,136,145,149,183],"impact":[47,143],"of":[48,62,74,101,138,182],"various":[49],"hyperparameters,":[50],"like":[51],"budget":[54],"(\u03f5),":[55],"clipping":[56],"norm":[57],"(C),":[58],"and":[59,83,87,89,103,118,141,148,191],"number":[61,137],"randomly":[63],"chosen":[64],"clients":[65,139],"(K)":[66,140],"per":[67],"communication":[68],"round.":[69],"Through":[70],"comprehensive":[72],"set":[73],"experiments,":[75],"we":[76],"compare":[77],"scenarios":[79],"under":[80,153],"both":[81,116],"independent":[82],"identically":[84,90],"distributed":[85,91],"(IID)":[86],"non-independent":[88],"(Non-IID)":[92],"settings.":[94,133],"Our":[95],"findings":[96],"reveal":[97],"that":[98],"combination":[100],"\u03f5":[102],"C":[104],"significantly":[105],"influences":[106],"global":[108],"noise":[109],"variance,":[110],"affecting":[111],"model\u2019s":[113],"performance":[114],"in":[115,131,186],"IID":[117],"Non-IID":[119,132,158],"scenarios.":[120],"Stricter":[121],"conditions":[123],"lead":[124],"fluctuating":[126],"non-converging":[127],"loss":[128,146],"behavior,":[129],"particularly":[130,152],"We":[134],"consider":[135],"its":[142],"on":[144],"fluctuations":[147],"improvement,":[151],"strict":[154],"measures.":[156],"Thus,":[157],"settings":[159],"are":[160],"more":[161],"responsive":[162],"stricter":[164],"regulations;":[166],"yet,":[167],"with":[168],"higher":[170],"client":[171],"interaction":[172],"volume,":[173],"they":[174],"also":[175],"can":[176],"offer":[177],"better":[178],"convergence.":[179],"Collectively,":[180],"knowledge":[181],"privacy-preserving":[184],"has":[188],"been":[189],"extended":[190],"useful":[192],"suggestions":[193],"towards":[194],"an":[195],"ideal":[196],"privacy\u2013convergence":[197],"were":[199],"achieved.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}
