{"id":"https://openalex.org/W4399990158","doi":"https://doi.org/10.1109/access.2024.3418016","title":"Enhancing Efficiency in Privacy-Preserving Federated Learning for Healthcare: Adaptive Gaussian Clipping With DFT Aggregator","display_name":"Enhancing Efficiency in Privacy-Preserving Federated Learning for Healthcare: Adaptive Gaussian Clipping With DFT Aggregator","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399990158","doi":"https://doi.org/10.1109/access.2024.3418016"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3418016","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3418016","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3418016","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014865444","display_name":"Muhammad Ayat Hidayat","orcid":"https://orcid.org/0000-0002-1841-7010"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Muhammad Ayat Hidayat","raw_affiliation_strings":["Department of Information Science and Technology, ISEE, Kyushu University, Fukuoka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-1841-7010","affiliations":[{"raw_affiliation_string":"Department of Information Science and Technology, ISEE, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017062920","display_name":"Yugo Nakamura","orcid":"https://orcid.org/0000-0002-8834-5323"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yugo Nakamura","raw_affiliation_strings":["Department of Information Science and Technology, ISEE, Kyushu University, Fukuoka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-8834-5323","affiliations":[{"raw_affiliation_string":"Department of Information Science and Technology, ISEE, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084986446","display_name":"Yutaka Arakawa","orcid":"https://orcid.org/0000-0002-7156-9160"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yutaka Arakawa","raw_affiliation_strings":["Department of Information Science and Technology, ISEE, Kyushu University, Fukuoka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7156-9160","affiliations":[{"raw_affiliation_string":"Department of Information Science and Technology, ISEE, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135598925"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8335,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7636524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"88445","last_page":"88457"},"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":0.9871000051498413,"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":0.9793000221252441,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/news-aggregator","display_name":"News aggregator","score":0.8153090476989746},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7001615166664124},{"id":"https://openalex.org/keywords/clipping","display_name":"Clipping (morphology)","score":0.5495232939720154},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5185444951057434},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4895094633102417},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4367184638977051},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.2411171793937683},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08703866600990295}],"concepts":[{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.8153090476989746},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7001615166664124},{"id":"https://openalex.org/C2776848632","wikidata":"https://www.wikidata.org/wiki/Q853463","display_name":"Clipping (morphology)","level":2,"score":0.5495232939720154},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5185444951057434},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4895094633102417},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4367184638977051},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.2411171793937683},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08703866600990295},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3418016","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3418016","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5b33d0b0fd4b4d90bbd81f8c943e4983","is_oa":true,"landing_page_url":"https://doaj.org/article/5b33d0b0fd4b4d90bbd81f8c943e4983","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 88445-88457 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3418016","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3418016","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1180663602","display_name":"\u5065\u5eb7\u884c\u52d5\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u306e\u305f\u3081\u306e\u30a8\u30f3\u30d1\u30ef\u30e1\u30f3\u30c8ICT\u57fa\u76e4","funder_award_id":"JPMJPR21P7","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"}],"funders":[{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2473418344","https://openalex.org/W2781091734","https://openalex.org/W2963456518","https://openalex.org/W3027749727","https://openalex.org/W3091870957","https://openalex.org/W3184528416","https://openalex.org/W3194457073","https://openalex.org/W3203400980","https://openalex.org/W3210296142","https://openalex.org/W4285196740","https://openalex.org/W4286279706","https://openalex.org/W4293211913","https://openalex.org/W4300686971","https://openalex.org/W4310113635","https://openalex.org/W4312595421","https://openalex.org/W4385245701","https://openalex.org/W4385489583","https://openalex.org/W4386053125","https://openalex.org/W4390285324","https://openalex.org/W6762803017","https://openalex.org/W6802645065"],"related_works":["https://openalex.org/W3036238356","https://openalex.org/W2767445978","https://openalex.org/W3092831610","https://openalex.org/W2603387358","https://openalex.org/W230187509","https://openalex.org/W4206057490","https://openalex.org/W962287279","https://openalex.org/W3112734853","https://openalex.org/W2012785328","https://openalex.org/W2342558870"],"abstract_inverted_index":{"Machine":[0],"learning\u2019s":[1],"exponential":[2],"growth":[3],"has":[4],"transformed":[5],"healthcare,":[6],"with":[7,58,164],"Federated":[8],"Learning":[9],"(FL)":[10],"playing":[11],"a":[12,81],"pivotal":[13],"role.":[14],"Despite":[15],"its":[16],"significance,":[17],"FL":[18,57],"is":[19],"vulnerable":[20],"to":[21,49,89,100,132,135,158],"privacy":[22,30,138,162],"attacks.":[23],"In":[24],"response,":[25],"researchers":[26],"have":[27],"integrated":[28],"differential":[29,137],"(DP)":[31],"into":[32],"FL.":[33],"Nevertheless,":[34],"incorporating":[35],"DP":[36,59],"introduces":[37],"challenges":[38],"such":[39,171],"as":[40,172],"increased":[41],"total":[42,152],"communication":[43,153],"costs":[44,154],"and":[45,70,110,145,177],"computational":[46],"overheads":[47],"due":[48],"the":[50,91,101,107,118,151,173],"introduction":[51],"of":[52,121],"noise.":[53],"This":[54,104],"drawback":[55],"renders":[56],"less":[60],"viable":[61],"for":[62],"healthcare":[63,169],"systems,":[64],"characterized":[65],"by":[66,94],"numerous":[67],"low-resource":[68],"devices":[69],"network":[71],"bandwidth":[72],"constraints.":[73],"To":[74],"overcome":[75],"this":[76],"limitation,":[77],"we":[78],"propose":[79],"integrating":[80],"Discrete":[82],"Fourier":[83],"Transform":[84],"(DFT)":[85],"aggregator":[86],"post-noise":[87],"addition":[88],"transform":[90],"gradient":[92,108],"generated":[93],"local":[95],"training":[96,166],"before":[97],"sending":[98],"it":[99],"central":[102],"server.":[103],"process":[105],"reduces":[106,150],"size":[109],"provides":[111],"rudimentary":[112],"encryption.":[113],"The":[114],"evaluation":[115],"results":[116],"reveal":[117],"superior":[119],"performance":[120],"our":[122],"proposed":[123],"method,":[124],"demonstrating":[125],"an":[126],"enhanced":[127],"accuracy":[128],"ranging":[129],"from":[130,156],"0.2%":[131],"2%":[133],"compared":[134],"existing":[136],"techniques,":[139],"including":[140],"RDP,":[141],"DP-SGD,":[142],"ZcDP,":[143],"LDP-Fed,":[144],"DP-AdapClip.":[146],"Our":[147],"approach":[148],"substantially":[149],"(ranging":[155],"6%":[157],"43%":[159],"across":[160],"different":[161],"budgets)":[163],"faster":[165],"times":[167],"in":[168],"datasets":[170],"PIMA":[174],"Indian":[175],"database":[176],"Breast":[178],"Cancer":[179],"Histopathology":[180],"Images.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}