{"id":"https://openalex.org/W4416920683","doi":"https://doi.org/10.1145/3737899.3768515","title":"FedPETv1: Edge-Aware Federated Learning with Differential Privacy for Distributed Medical Diagnostics","display_name":"FedPETv1: Edge-Aware Federated Learning with Differential Privacy for Distributed Medical Diagnostics","publication_year":2025,"publication_date":"2025-11-04","ids":{"openalex":"https://openalex.org/W4416920683","doi":"https://doi.org/10.1145/3737899.3768515"},"language":null,"primary_location":{"id":"doi:10.1145/3737899.3768515","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3737899.3768515","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3737899.3768515","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Federated Learning and Edge AI for Privacy and Mobility","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3737899.3768515","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112604661","display_name":"Shancang Li","orcid":"https://orcid.org/0000-0001-5663-7420"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]},{"id":"https://openalex.org/I97429440","display_name":"University of Wales","ror":"https://ror.org/01se4f844","country_code":"GB","type":"education","lineage":["https://openalex.org/I97429440"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Shan-cang Li","raw_affiliation_strings":["Cardiff University Cardiff, Wales Uk"],"affiliations":[{"raw_affiliation_string":"Cardiff University Cardiff, Wales Uk","institution_ids":["https://openalex.org/I79510175","https://openalex.org/I97429440"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083899287","display_name":"Shanshan Zhao","orcid":"https://orcid.org/0000-0003-0009-4089"},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shanshan Zhao","raw_affiliation_strings":["University of the West of England Bristol, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of the West of England Bristol, United Kingdom","institution_ids":["https://openalex.org/I178535277"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035036654","display_name":"Yongjian Ding","orcid":"https://orcid.org/0009-0008-7001-9539"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjian Ding","raw_affiliation_strings":["University of Electronic Science and Technology of China Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112604661"],"corresponding_institution_ids":["https://openalex.org/I79510175","https://openalex.org/I97429440"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20807857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9093000292778015,"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":0.9093000292778015,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.014100000262260437,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.00930000003427267,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/federated-learning","display_name":"Federated learning","score":0.8931999802589417},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.5942000150680542},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.49239999055862427},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.47690001130104065},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.46970000863075256},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.4620000123977661},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4587000012397766},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.436599999666214},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.40230000019073486}],"concepts":[{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.8931999802589417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7462000250816345},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.5942000150680542},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.49239999055862427},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.47690001130104065},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.46970000863075256},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.4620000123977661},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4587000012397766},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.436599999666214},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.40230000019073486},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.38100001215934753},{"id":"https://openalex.org/C2989086416","wikidata":"https://www.wikidata.org/wiki/Q15067276","display_name":"Healthcare industry","level":3,"score":0.3788999915122986},{"id":"https://openalex.org/C2988170871","wikidata":"https://www.wikidata.org/wiki/Q11000047","display_name":"Healthcare system","level":3,"score":0.3662000000476837},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.34380000829696655},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.34360000491142273},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.32350000739097595},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.3050000071525574},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29820001125335693},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.2921000123023987},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2777999937534332},{"id":"https://openalex.org/C2776854237","wikidata":"https://www.wikidata.org/wiki/Q6031064","display_name":"Information sharing","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.26440000534057617},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3737899.3768515","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3737899.3768515","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3737899.3768515","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Federated Learning and Edge AI for Privacy and Mobility","raw_type":"proceedings-article"},{"id":"pmh:oai:https://orca.cardiff.ac.uk:183344","is_oa":false,"landing_page_url":"https://orca.cardiff.ac.uk/view/cardiffauthors/A2591606F.html>,","pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":{"id":"doi:10.1145/3737899.3768515","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3737899.3768515","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3737899.3768515","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Federated Learning and Edge AI for Privacy and Mobility","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416920683.pdf","grobid_xml":"https://content.openalex.org/works/W4416920683.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W3179157431","https://openalex.org/W4213085249","https://openalex.org/W4283373300","https://openalex.org/W4293772397"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3],"propose":[4],"FedPET,":[5],"a":[6],"privacy-enhancing":[7],"federated":[8],"learning":[9],"(FL)":[10],"framework":[11],"designed":[12],"for":[13],"decentralized":[14],"healthcare":[15,22,37,42],"analytics.":[16],"FedPET":[17,44,65],"iteratively":[18],"aggregates":[19],"locally":[20],"computed":[21],"analytics":[23],"model":[24,33],"updates":[25],"from":[26],"edge":[27],"devices":[28],"and":[29,49],"then":[30],"conduct":[31],"collaborative":[32],"training":[34,71],"across":[35],"distributed":[36],"partners":[38],"without":[39],"sharing":[40],"raw":[41],"data.":[43],"employs":[45],"adaptive":[46],"aggregation":[47],"weights":[48],"momentum-based":[50],"optimization":[51],"to":[52,69],"address":[53],"non-IID":[54],"data":[55],"distributions":[56],"while":[57,72],"minimizing":[58],"communication":[59,74],"overhead.":[60],"Experiment":[61],"results":[62],"demonstrated":[63],"that":[64],"achieves":[66],"comparable":[67],"accuracy":[68],"centralised":[70],"reducing":[73],"costs":[75],"by":[76],"40%.":[77]},"counts_by_year":[],"updated_date":"2026-03-12T06:13:28.667946","created_date":"2025-12-02T00:00:00"}
