{"id":"https://openalex.org/W4408325471","doi":"https://doi.org/10.1109/globecom52923.2024.10901764","title":"Hybrid Makes Better: Privacy-Preserving Medical Image Classification Based on Federated Learning","display_name":"Hybrid Makes Better: Privacy-Preserving Medical Image Classification Based on Federated Learning","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4408325471","doi":"https://doi.org/10.1109/globecom52923.2024.10901764"},"language":"en","primary_location":{"id":"doi:10.1109/globecom52923.2024.10901764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","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/A5100376395","display_name":"Zhi Wang","orcid":"https://orcid.org/0000-0002-4933-8657"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhi Wang","raw_affiliation_strings":["China University of Mining and Technology,School of Computer Science,Xuzhou,China,221116"],"affiliations":[{"raw_affiliation_string":"China University of Mining and Technology,School of Computer Science,Xuzhou,China,221116","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103248929","display_name":"Haotian Chi","orcid":"https://orcid.org/0009-0006-3286-7444"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haotian Chi","raw_affiliation_strings":["Shanxi University,School of Automation and Software Engineering,Taiyuan,China,030006"],"affiliations":[{"raw_affiliation_string":"Shanxi University,School of Automation and Software Engineering,Taiyuan,China,030006","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107909020","display_name":"Yonggang Li","orcid":"https://orcid.org/0009-0003-7751-697X"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonggang Li","raw_affiliation_strings":["China University of Mining and Technology,School of Computer Science,Xuzhou,China,221116"],"affiliations":[{"raw_affiliation_string":"China University of Mining and Technology,School of Computer Science,Xuzhou,China,221116","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028075065","display_name":"Yuxuan Zhang","orcid":"https://orcid.org/0009-0006-4369-1990"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Zhang","raw_affiliation_strings":["Shanxi University,School of Automation and Software Engineering,Taiyuan,China,030006"],"affiliations":[{"raw_affiliation_string":"Shanxi University,School of Automation and Software Engineering,Taiyuan,China,030006","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027335042","display_name":"Shunrong Jiang","orcid":"https://orcid.org/0000-0003-2823-1794"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunrong Jiang","raw_affiliation_strings":["China University of Mining and Technology,School of Computer Science,Xuzhou,China,221116"],"affiliations":[{"raw_affiliation_string":"China University of Mining and Technology,School of Computer Science,Xuzhou,China,221116","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060514022","display_name":"Xiaojiang Du","orcid":"https://orcid.org/0000-0003-4235-9671"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaojiang Du","raw_affiliation_strings":["Stevens Institute of Technology,Department of Electrical and Computer Engineering,Hoboken,NJ,USA"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology,Department of Electrical and Computer Engineering,Hoboken,NJ,USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057916222","display_name":"Mohsen Guizani","orcid":"https://orcid.org/0000-0002-8972-8094"},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Mohsen Guizani","raw_affiliation_strings":["Mohamed Bin Zayed University of Artificial Intelligence,Department of Machine Learning,Abu Dhabi,UAE"],"affiliations":[{"raw_affiliation_string":"Mohamed Bin Zayed University of Artificial Intelligence,Department of Machine Learning,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I4210113480"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100376395"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":1.0878,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82854214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2816","last_page":"2821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9944000244140625,"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":0.9944000244140625,"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":0.8085778951644897},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4900261163711548},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4833528697490692},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4659042954444885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46071892976760864},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3428248167037964},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3373048007488251},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32432088255882263},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3201014995574951},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.2770431935787201}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8085778951644897},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4900261163711548},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4833528697490692},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4659042954444885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46071892976760864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3428248167037964},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3373048007488251},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32432088255882263},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3201014995574951},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.2770431935787201}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom52923.2024.10901764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311687","display_name":"Ministry of Education","ror":"https://ror.org/03m01yf64"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2027595342","https://openalex.org/W2781091734","https://openalex.org/W2912213068","https://openalex.org/W2970606380","https://openalex.org/W3016132749","https://openalex.org/W3045004532","https://openalex.org/W3092749669","https://openalex.org/W3134086225","https://openalex.org/W3175507592","https://openalex.org/W3176052592","https://openalex.org/W3207962968","https://openalex.org/W3211185929","https://openalex.org/W4306953471","https://openalex.org/W4317436377","https://openalex.org/W4323793447","https://openalex.org/W4385245566","https://openalex.org/W6728757088","https://openalex.org/W6747855403","https://openalex.org/W6764838729","https://openalex.org/W6767675000"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4224009465","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W4205958290","https://openalex.org/W4384212932","https://openalex.org/W4390590544","https://openalex.org/W2096195258","https://openalex.org/W2990460313","https://openalex.org/W2973458857"],"abstract_inverted_index":{"The":[0],"power":[1],"of":[2,49,63,140],"machine":[3,13],"learning":[4,14,35,59],"makes":[5],"it":[6],"available":[7],"for":[8],"medical":[9,17,50,131,171],"image":[10,51,132,172],"classification.":[11,52,133],"However,":[12],"requires":[15],"large":[16],"datasets":[18],"to":[19,30,40,110,126,163],"improve":[20,46],"accuracy,":[21],"which":[22],"will":[23],"involve":[24],"patients\u2019":[25,43,86],"private":[26],"information":[27],"and":[28,45,95,119,142,155,174],"lead":[29],"their":[31],"privacy":[32,44,64,82,87,98,102,154,175],"leakage.":[33,65,88],"Federated":[34],"is":[36],"a":[37,71,78],"trending":[38],"technique":[39],"both":[41,93],"protect":[42],"the":[47,61,101,107,111,124,157,165,169],"accuracy":[48,129,144,159],"Unfortunately,":[53],"current":[54],"research":[55],"shows":[56],"that":[57,106,150],"federated":[58],"faces":[60],"risk":[62],"In":[66],"this":[67],"paper,":[68],"we":[69,76,115,135],"propose":[70],"privacy-preserving":[72,141],"scheme":[73,167],"FHDM.":[74],"Specifically,":[75],"construct":[77],"local":[79],"hybrid":[80,90],"differential":[81,97],"algorithm":[83,91,108,125],"(LHDP)":[84],"against":[85],"This":[89],"utilizes":[92],"Gaussian":[94],"Laplace":[96],"without":[99],"enlarging":[100],"budget.":[103,176],"We":[104],"prove":[105],"applies":[109],"model":[112,143],"parameter.":[113],"Moreover,":[114],"design":[116],"loss":[117],"optimization":[118,121],"global":[120],"strategies":[122],"on":[123,145],"achieve":[127],"higher":[128],"in":[130,138],"Finally,":[134],"validate":[136],"FHDM":[137,151],"terms":[139],"real":[146],"datasets.":[147],"Experiments":[148],"show":[149],"effectively":[152],"protects":[153],"improves":[156],"average":[158],"by":[160],"10.0%":[161],"compared":[162],"adopting":[164],"LDP-based":[166],"with":[168],"same":[170],"dataset":[173]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}