{"id":"https://openalex.org/W3138912819","doi":"https://doi.org/10.1109/tbdata.2023.3280406","title":"Quality Inference in Federated Learning With Secure Aggregation","display_name":"Quality Inference in Federated Learning With Secure Aggregation","publication_year":2023,"publication_date":"2023-05-29","ids":{"openalex":"https://openalex.org/W3138912819","doi":"https://doi.org/10.1109/tbdata.2023.3280406","mag":"3138912819"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2023.3280406","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tbdata.2023.3280406","pdf_url":"https://ieeexplore.ieee.org/ielx7/6687317/7153538/10138056.pdf","source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/6687317/7153538/10138056.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011355943","display_name":"Bal\u00e1zs Pej\u00f3","orcid":"https://orcid.org/0000-0002-1825-9251"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Bal\u00e1zs Pej\u00f3","raw_affiliation_strings":["CrySyS Lab, Department of Networked Systems and Services, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary","CrySyS Lab, Department of Networked Systems and Services Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, and ELKH-BME Information Systems Research Group, Hungary"],"raw_orcid":"https://orcid.org/0000-0002-1825-9251","affiliations":[{"raw_affiliation_string":"CrySyS Lab, Department of Networked Systems and Services, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]},{"raw_affiliation_string":"CrySyS Lab, Department of Networked Systems and Services Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, and ELKH-BME Information Systems Research Group, Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002026615","display_name":"Gergely Bicz\u00f3k","orcid":"https://orcid.org/0000-0002-3891-3855"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Gergely Bicz\u00f3k","raw_affiliation_strings":["CrySyS Lab, Department of Networked Systems and Services, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary","CrySyS Lab, Department of Networked Systems and Services Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, and ELKH-BME Information Systems Research Group, Hungary"],"raw_orcid":"https://orcid.org/0000-0002-3891-3855","affiliations":[{"raw_affiliation_string":"CrySyS Lab, Department of Networked Systems and Services, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]},{"raw_affiliation_string":"CrySyS Lab, Department of Networked Systems and Services Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, and ELKH-BME Information Systems Research Group, Hungary","institution_ids":["https://openalex.org/I29770179"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I29770179"],"apc_list":null,"apc_paid":null,"fwci":3.1725,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.92732255,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"9","issue":"5","first_page":"1430","last_page":"1437"},"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":0.9991000294685364,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9948999881744385,"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":0.8893923759460449},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7494014501571655},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6430618762969971},{"id":"https://openalex.org/keywords/confidentiality","display_name":"Confidentiality","score":0.6091627478599548},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5472682118415833},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.49165159463882446},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.45830515027046204},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4150981903076172},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3911222517490387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3712439239025116},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35663503408432007},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3413447141647339},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.31480419635772705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8893923759460449},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7494014501571655},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6430618762969971},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.6091627478599548},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5472682118415833},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.49165159463882446},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.45830515027046204},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4150981903076172},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3911222517490387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3712439239025116},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35663503408432007},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3413447141647339},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.31480419635772705},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2023.3280406","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tbdata.2023.3280406","pdf_url":"https://ieeexplore.ieee.org/ielx7/6687317/7153538/10138056.pdf","source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tbdata.2023.3280406","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tbdata.2023.3280406","pdf_url":"https://ieeexplore.ieee.org/ielx7/6687317/7153538/10138056.pdf","source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2953162778","display_name":null,"funder_award_id":"TKP2021-NVA","funder_id":"https://openalex.org/F4320335908","funder_display_name":"Nemzeti Kutat\u00e1si, Fejleszt\u00e9si \u00e9s Innovaci\u00f3s Alap"},{"id":"https://openalex.org/G6760818197","display_name":null,"funder_award_id":"TKP2021-NVA-02","funder_id":"https://openalex.org/F4320335908","funder_display_name":"Nemzeti Kutat\u00e1si, Fejleszt\u00e9si \u00e9s Innovaci\u00f3s Alap"},{"id":"https://openalex.org/G6872655894","display_name":null,"funder_award_id":"138903","funder_id":"https://openalex.org/F4320335908","funder_display_name":"Nemzeti Kutat\u00e1si, Fejleszt\u00e9si \u00e9s Innovaci\u00f3s Alap"},{"id":"https://openalex.org/G8307349825","display_name":null,"funder_award_id":"10109571","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320326762","display_name":"Nemzeti Kutat\u00e1si Fejleszt\u00e9si \u00e9s Innov\u00e1ci\u00f3s Hivatal","ror":null},{"id":"https://openalex.org/F4320335908","display_name":"Nemzeti Kutat\u00e1si, Fejleszt\u00e9si \u00e9s Innovaci\u00f3s Alap","ror":null},{"id":"https://openalex.org/F4320336675","display_name":"National Research, Development and Innovation Office","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3138912819.pdf","grobid_xml":"https://content.openalex.org/works/W3138912819.grobid-xml"},"referenced_works_count":109,"referenced_works":["https://openalex.org/W104209573","https://openalex.org/W655626130","https://openalex.org/W1494403360","https://openalex.org/W1555168845","https://openalex.org/W1562353621","https://openalex.org/W1565048244","https://openalex.org/W1600537614","https://openalex.org/W2007339694","https://openalex.org/W2025071037","https://openalex.org/W2051267297","https://openalex.org/W2073231946","https://openalex.org/W2091815328","https://openalex.org/W2103115813","https://openalex.org/W2103647628","https://openalex.org/W2110868467","https://openalex.org/W2126996160","https://openalex.org/W2133032412","https://openalex.org/W2133968677","https://openalex.org/W2136457188","https://openalex.org/W2150865801","https://openalex.org/W2159024459","https://openalex.org/W2159359879","https://openalex.org/W2283463896","https://openalex.org/W2341832822","https://openalex.org/W2397857137","https://openalex.org/W2461943168","https://openalex.org/W2487898712","https://openalex.org/W2535690855","https://openalex.org/W2535838896","https://openalex.org/W2541884796","https://openalex.org/W2549446753","https://openalex.org/W2591882872","https://openalex.org/W2597603852","https://openalex.org/W2748025215","https://openalex.org/W2777914285","https://openalex.org/W2785361959","https://openalex.org/W2796407105","https://openalex.org/W2810065831","https://openalex.org/W2884090605","https://openalex.org/W2886444620","https://openalex.org/W2897830718","https://openalex.org/W2907297064","https://openalex.org/W2930926105","https://openalex.org/W2948817437","https://openalex.org/W2949574275","https://openalex.org/W2949780682","https://openalex.org/W2950346378","https://openalex.org/W2950602864","https://openalex.org/W2950690147","https://openalex.org/W2963456518","https://openalex.org/W2964162474","https://openalex.org/W2964318098","https://openalex.org/W2966808454","https://openalex.org/W2970408908","https://openalex.org/W2980189717","https://openalex.org/W2989677594","https://openalex.org/W3003380256","https://openalex.org/W3008559440","https://openalex.org/W3018763859","https://openalex.org/W3030902227","https://openalex.org/W3035748261","https://openalex.org/W3083926463","https://openalex.org/W3092764575","https://openalex.org/W3093382170","https://openalex.org/W3099185500","https://openalex.org/W3108051446","https://openalex.org/W3110657291","https://openalex.org/W3116863821","https://openalex.org/W3128779927","https://openalex.org/W3131446963","https://openalex.org/W3167871316","https://openalex.org/W3175324755","https://openalex.org/W3185819586","https://openalex.org/W3198837878","https://openalex.org/W3201030831","https://openalex.org/W3208283650","https://openalex.org/W3210375408","https://openalex.org/W4207073300","https://openalex.org/W4236657722","https://openalex.org/W4285606919","https://openalex.org/W4287630473","https://openalex.org/W4291805241","https://openalex.org/W4297687186","https://openalex.org/W4297799122","https://openalex.org/W4298221930","https://openalex.org/W4318619660","https://openalex.org/W6728757088","https://openalex.org/W6728897251","https://openalex.org/W6735632633","https://openalex.org/W6746720608","https://openalex.org/W6752600739","https://openalex.org/W6754708698","https://openalex.org/W6762234667","https://openalex.org/W6764838729","https://openalex.org/W6769363912","https://openalex.org/W6770040465","https://openalex.org/W6773826992","https://openalex.org/W6774812674","https://openalex.org/W6779821316","https://openalex.org/W6784102447","https://openalex.org/W6784394700","https://openalex.org/W6787414725","https://openalex.org/W6788323906","https://openalex.org/W6796373217","https://openalex.org/W6797703368","https://openalex.org/W6800836957","https://openalex.org/W6803084572","https://openalex.org/W6843887818","https://openalex.org/W6898611122"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2058260585","https://openalex.org/W4384027004"],"abstract_inverted_index":{"Federated":[0],"learning":[1],"algorithms":[2],"are":[3],"developed":[4],"both":[5],"for":[6],"efficiency":[7],"reasons":[8],"and":[9,14,18,72,81,125],"to":[10,48,51,83,115],"ensure":[11],"the":[12,32,60,63,102,111,120],"privacy":[13],"confidentiality":[15],"of":[16,65,68,96,106,123],"personal":[17],"business":[19],"data,":[20],"respectively.":[21],"Despite":[22],"no":[23],"data":[24],"being":[25],"shared":[26],"explicitly,":[27],"recent":[28],"studies":[29],"showed":[30],"that":[31,74],"mechanism":[33],"could":[34,78],"still":[35],"leak":[36],"sensitive":[37],"information.":[38],"Hence,":[39],"secure":[40,88],"aggregation":[41,89],"is":[42,90],"utilized":[43],"in":[44],"many":[45],"real-world":[46],"scenarios":[47],"prevent":[49],"attribution":[50],"specific":[52,84],"participants.":[53,107],"In":[54],"this":[55],"paper,":[56],"we":[57,100,109],"focus":[58],"on":[59],"quality":[61,76,104,113],"(i.e.,":[62],"ratio":[64],"correct":[66],"labels)":[67],"individual":[69,121],"training":[70,117],"datasets":[71],"show":[73],"such":[75],"information":[77,114],"be":[79],"inferred":[80,112],"attributed":[82],"participants":[85],"even":[86],"when":[87],"applied.":[91],"Specifically,":[92],"through":[93],"a":[94],"series":[95],"image":[97],"recognition":[98],"experiments,":[99],"infer":[101],"relative":[103],"ordering":[105],"Moreover,":[108],"apply":[110],"stabilize":[116],"performance,":[118],"measure":[119],"contribution":[122],"participants,":[124],"detect":[126],"misbehavior.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}