{"id":"https://openalex.org/W7225348553","doi":"https://doi.org/10.1007/s10791-026-10795-6","title":"Privacy-preserving federated learning with differential privacy for secure distributed intelligent computing","display_name":"Privacy-preserving federated learning with differential privacy for secure distributed intelligent computing","publication_year":2026,"publication_date":"2026-11-05","ids":{"openalex":"https://openalex.org/W7225348553","doi":"https://doi.org/10.1007/s10791-026-10795-6"},"language":"en","primary_location":{"id":"doi:10.1007/s10791-026-10795-6","doi":"https://doi.org/10.1007/s10791-026-10795-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-026-10795-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-026-10795-6.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["ccf-c","doaj","dongbi-d","jufo-3","norway-2","russia-white-list-1"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s10791-026-10795-6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029265091","display_name":"Taslima Khanam","orcid":"https://orcid.org/0000-0001-5842-930X","observed_orcids":["https://orcid.org/0000-0001-5842-930X"]},"institutions":[{"id":"https://openalex.org/I71270174","display_name":"Victoria University","ror":"https://ror.org/04j757h98","country_code":"AU","type":"education","lineage":["https://openalex.org/I71270174"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Taslima Khanam","raw_affiliation_strings":["Institute for Sustainable Industries & Liveable Cities, Victoria University, Melbourne, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5842-930X","affiliations":[{"raw_affiliation_string":"Institute for Sustainable Industries & Liveable Cities, Victoria University, Melbourne, Australia","institution_ids":["https://openalex.org/I71270174"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057305454","display_name":"Siuly Siuly","orcid":"https://orcid.org/0000-0003-2491-0546","observed_orcids":["https://orcid.org/0000-0003-2491-0546"]},"institutions":[{"id":"https://openalex.org/I71270174","display_name":"Victoria University","ror":"https://ror.org/04j757h98","country_code":"AU","type":"education","lineage":["https://openalex.org/I71270174"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Siuly Siuly","raw_affiliation_strings":["Institute for Sustainable Industries & Liveable Cities, Victoria University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Sustainable Industries & Liveable Cities, Victoria University, Melbourne, Australia","institution_ids":["https://openalex.org/I71270174"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135048124","display_name":"Kate Wang","orcid":"https://orcid.org/0009-0000-2913-5708","observed_orcids":["https://orcid.org/0009-0000-2913-5708","https://orcid.org/0000-0001-5208-1090"]},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kate Wang","raw_affiliation_strings":["School of Health and Biomedical Sciences, RMIT University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Health and Biomedical Sciences, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100403969","display_name":"Hua Wang","orcid":"https://orcid.org/0000-0002-8465-0996","observed_orcids":["https://orcid.org/0000-0002-8465-0996","https://orcid.org/0000-0001-6703-6882","https://orcid.org/0000-0002-6999-1637","https://orcid.org/0000-0003-2633-3420"]},"institutions":[{"id":"https://openalex.org/I71270174","display_name":"Victoria University","ror":"https://ror.org/04j757h98","country_code":"AU","type":"education","lineage":["https://openalex.org/I71270174"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hua Wang","raw_affiliation_strings":["Institute for Sustainable Industries & Liveable Cities, Victoria University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Sustainable Industries & Liveable Cities, Victoria University, Melbourne, Australia","institution_ids":["https://openalex.org/I71270174"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029265091"],"corresponding_institution_ids":["https://openalex.org/I71270174"],"apc_list":{"value":1520,"currency":"USD","value_usd":1520},"apc_paid":{"value":1520,"currency":"USD","value_usd":1520},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":"1","first_page":null,"last_page":null},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.0,"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":0.0,"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/privacy-preserving-federated-learning","display_name":"privacy-preserving federated learning","score":0.9269999861717224},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"differential privacy","score":0.9980000257492065},{"id":"https://openalex.org/keywords/eeg-classification","display_name":"EEG classification","score":0.7429999709129333},{"id":"https://openalex.org/keywords/brain-computer-interface","display_name":"brain-computer interface","score":0.8389999866485596},{"id":"https://openalex.org/keywords/membership-inference-attacks","display_name":"membership inference attacks","score":0.699999988079071},{"id":"https://openalex.org/keywords/laplace-mechanism","display_name":"Laplace mechanism","score":0.7229999899864197},{"id":"https://openalex.org/keywords/fedavg","display_name":"FedAvg","score":0.8119999766349792},{"id":"https://openalex.org/keywords/secure-communication","display_name":"secure communication","score":0.6819999814033508},{"id":"https://openalex.org/keywords/eegnet","display_name":"EEGNet","score":0.6759999990463257},{"id":"https://openalex.org/keywords/bci-competition-iv-dataset-2a","display_name":"BCI Competition IV dataset 2a","score":0.8799999952316284},{"id":"https://openalex.org/keywords/communication-overhead","display_name":"communication overhead","score":0.3880000114440918}],"concepts":[{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.9276000261306763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8093000054359436},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.6532999873161316},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5871999859809875},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5717999935150146},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.5171999931335449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47510001063346863},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47209998965263367},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.453000009059906},{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.3856000006198883},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.3718000054359436},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36010000109672546},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35499998927116394},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3294000029563904},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C3739613","wikidata":"https://www.wikidata.org/wiki/Q679003","display_name":"Distributed Computing Environment","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C138020889","wikidata":"https://www.wikidata.org/wiki/Q2349659","display_name":"Collaborative learning","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10791-026-10795-6","doi":"https://doi.org/10.1007/s10791-026-10795-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-026-10795-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-026-10795-6.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["ccf-c","doaj","dongbi-d","jufo-3","norway-2","russia-white-list-1"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9c0d89527179452081d1c2982e4ca843","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/9c0d89527179452081d1c2982e4ca843","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,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Computing, Vol 29, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s10791-026-10795-6","doi":"https://doi.org/10.1007/s10791-026-10795-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-026-10795-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-026-10795-6.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["ccf-c","doaj","dongbi-d","jufo-3","norway-2","russia-white-list-1"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7225348553.pdf","grobid_xml":"https://content.openalex.org/works/W7225348553.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1873763122","https://openalex.org/W2559463885","https://openalex.org/W2741907166","https://openalex.org/W2744999500","https://openalex.org/W2767079719","https://openalex.org/W2777914285","https://openalex.org/W2781091734","https://openalex.org/W2995022099","https://openalex.org/W3016632787","https://openalex.org/W3031300190","https://openalex.org/W3045674654","https://openalex.org/W4293111513","https://openalex.org/W4310080639","https://openalex.org/W4402401431","https://openalex.org/W4404725375","https://openalex.org/W4405659310","https://openalex.org/W4409358310","https://openalex.org/W4412375615","https://openalex.org/W4414166082","https://openalex.org/W4415178651","https://openalex.org/W4415747524","https://openalex.org/W7140324227","https://openalex.org/W7155357362","https://openalex.org/W7159815239","https://openalex.org/W7165489995","https://openalex.org/W7167466450","https://openalex.org/W7170086123"],"related_works":["https://openalex.org/W7165489995","https://openalex.org/W7171964658","https://openalex.org/W4296890893","https://openalex.org/W7164409988","https://openalex.org/W4409435330","https://openalex.org/W7219639014","https://openalex.org/W4385975893","https://openalex.org/W4372270425","https://openalex.org/W7125955500","https://openalex.org/W7164997956"],"abstract_inverted_index":{"Abstract":[0],"Federated":[1,72,87],"Learning":[2],"(FL)":[3],"enables":[4],"collaborative":[5],"model":[6,29],"training":[7,103],"without":[8,192],"centralized":[9],"data":[10,107],"sharing,":[11],"making":[12],"it":[13],"suitable":[14],"for":[15],"privacy-sensitive":[16],"intelligent":[17],"computing":[18],"environments.":[19],"However,":[20],"FL":[21],"models":[22],"remain":[23],"vulnerable":[24],"to":[25,96,101],"information":[26],"leakage":[27],"through":[28],"updates":[30],"and":[31,59,85,116,149,161,174,185],"prediction":[32],"outputs,":[33],"particularly":[34],"when":[35],"learning":[36,54,78,191],"from":[37],"electroencephalography":[38],"(EEG)":[39],"signals.":[40],"Although":[41],"Differential":[42],"Privacy":[43],"(DP)":[44],"can":[45],"mitigate":[46],"such":[47],"risks,":[48],"integrating":[49,80,183],"DP":[50,94,184],"into":[51,188],"distributed":[52,77],"deep":[53],"often":[55],"reduces":[56],"predictive":[57,159,196],"performance":[58,173],"destabilizes":[60],"optimization.":[61,90],"To":[62],"address":[63],"these":[64],"challenges,":[65],"this":[66],"study":[67],"proposes":[68],"SAFE":[69,91,156],"(Secure":[70],"Adaptive":[71],"EEG":[73,98,190],"Framework),":[74],"a":[75],"privacy-preserving":[76],"framework":[79,110],"representation-level":[81],"DP,":[82],"TLS-secured":[83],"communication,":[84],"multi-round":[86],"Averaging":[88],"(FedAvg)":[89],"applies":[92],"Laplace-based":[93],"directly":[95],"normalized":[97],"representations":[99],"prior":[100],"local":[102],"while":[104],"preserving":[105],"decentralized":[106],"locality.":[108],"The":[109,177],"was":[111],"evaluated":[112,166],"using":[113,142],"EEGNet,":[114],"ShallowNet,":[115],"EEGTCNet":[117],"on":[118],"the":[119,165,170,180],"BCI":[120],"Competition":[121],"IV":[122],"Dataset":[123],"2a":[124],"under":[125],"multiple":[126],"privacy":[127,162],"budgets":[128],"(":[129],"$$\\epsilon":[130],"=":[131],"1,":[132],"5,":[133],"10$$":[134],")":[135],"across":[136],"20":[137],"communication":[138,147,187],"rounds.":[139],"Experimental":[140],"evaluation":[141],"classification":[143],"accuracy,":[144],"convergence":[145,175],"analysis,":[146],"overhead,":[148],"Membership":[150],"Inference":[151],"Attacks":[152],"(MIA)":[153],"demonstrated":[154],"that":[155],"effectively":[157],"balanced":[158],"utility":[160],"protection.":[163],"Among":[164],"models,":[167],"ShallowNet":[168],"achieved":[169],"strongest":[171],"federated":[172,189],"stability.":[176],"findings":[178],"demonstrate":[179],"feasibility":[181],"of":[182],"secure":[186],"substantial":[193],"degradation":[194],"in":[195],"utility.":[197]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2026-11-06T00:00:00"}