{"id":"https://openalex.org/W4307964206","doi":"https://doi.org/10.1145/3560830.3563729","title":"PROV-FL: Privacy-preserving Round Optimal Verifiable Federated Learning","display_name":"PROV-FL: Privacy-preserving Round Optimal Verifiable Federated Learning","publication_year":2022,"publication_date":"2022-11-02","ids":{"openalex":"https://openalex.org/W4307964206","doi":"https://doi.org/10.1145/3560830.3563729"},"language":"en","primary_location":{"id":"doi:10.1145/3560830.3563729","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3560830.3563729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security","raw_type":"proceedings-article"},"type":"conference-paper","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/A5065558612","display_name":"Vishnu Asutosh Dasu","orcid":"https://orcid.org/0000-0002-1849-1288"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vishnu Asutosh Dasu","raw_affiliation_strings":["The Pennsylvania State University, State College, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, State College, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046539794","display_name":"Sumanta Sarkar","orcid":"https://orcid.org/0000-0002-6303-617X"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sumanta Sarkar","raw_affiliation_strings":["University of Warwick, Coventry, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071606427","display_name":"Kalikinkar Mandal","orcid":"https://orcid.org/0000-0002-8228-5016"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kalikinkar Mandal","raw_affiliation_strings":["University of New Brunswick, Fredericton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New Brunswick, Fredericton, Canada","institution_ids":["https://openalex.org/I106938459"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0121,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78520222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"44"},"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":0.9979000091552734,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9638000130653381,"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/federated-learning","display_name":"Federated learning","score":0.9043267965316772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8579633235931396},{"id":"https://openalex.org/keywords/homomorphic-encryption","display_name":"Homomorphic encryption","score":0.7857859134674072},{"id":"https://openalex.org/keywords/verifiable-secret-sharing","display_name":"Verifiable secret sharing","score":0.6758517026901245},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.6338574886322021},{"id":"https://openalex.org/keywords/news-aggregator","display_name":"News aggregator","score":0.5692707300186157},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.5575881600379944},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5556379556655884},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.4956573247909546},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45329564809799194},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.344554603099823},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3203586935997009},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2847750782966614},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15863990783691406}],"concepts":[{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.9043267965316772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8579633235931396},{"id":"https://openalex.org/C158338273","wikidata":"https://www.wikidata.org/wiki/Q2154943","display_name":"Homomorphic encryption","level":3,"score":0.7857859134674072},{"id":"https://openalex.org/C85847156","wikidata":"https://www.wikidata.org/wiki/Q59015987","display_name":"Verifiable secret sharing","level":3,"score":0.6758517026901245},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.6338574886322021},{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.5692707300186157},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.5575881600379944},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5556379556655884},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.4956573247909546},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45329564809799194},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.344554603099823},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3203586935997009},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2847750782966614},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15863990783691406},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3560830.3563729","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3560830.3563729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security","raw_type":"proceedings-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:170003","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Item"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2027595342","https://openalex.org/W2051267297","https://openalex.org/W2053637704","https://openalex.org/W2078590992","https://openalex.org/W2128865076","https://openalex.org/W2232997092","https://openalex.org/W2238607431","https://openalex.org/W2473418344","https://openalex.org/W2483232135","https://openalex.org/W2588956906","https://openalex.org/W2701059868","https://openalex.org/W2767079719","https://openalex.org/W2895865029","https://openalex.org/W2913563076","https://openalex.org/W2963106566","https://openalex.org/W2970606380","https://openalex.org/W2983509101","https://openalex.org/W2984242138","https://openalex.org/W2984644945","https://openalex.org/W3030382486","https://openalex.org/W3096328345","https://openalex.org/W3099845542","https://openalex.org/W3174707643","https://openalex.org/W3203030359","https://openalex.org/W4232763937","https://openalex.org/W4301284418","https://openalex.org/W4322579323","https://openalex.org/W6657138077"],"related_works":["https://openalex.org/W4287668808","https://openalex.org/W4286971788","https://openalex.org/W4280503768","https://openalex.org/W3199340467","https://openalex.org/W4280593074","https://openalex.org/W3157608626","https://openalex.org/W3132132958","https://openalex.org/W4321612632","https://openalex.org/W4322580403","https://openalex.org/W4399147128"],"abstract_inverted_index":{"Federated":[0],"learning":[1,89],"is":[2,47],"a":[3,7,10,25,50,73,115,181],"distributed":[4],"framework":[5],"where":[6],"server":[8,31,66,107,148],"computes":[9],"global":[11],"model":[12,156],"by":[13,173],"aggregating":[14,111],"the":[15,30,35,39,57,65,70,106,119,142,147,151,154,169],"local":[16,36,96,112],"models":[17,37,113,179],"trained":[18],"on":[19,118,176],"users'":[20,95,160],"private":[21],"data.":[22],"However,":[23],"for":[24,110,132],"stronger":[26],"data":[27],"privacy":[28,124],"guarantee,":[29],"should":[32],"not":[33],"access":[34],"except":[38],"aggregated":[40,155],"one.":[41],"One":[42],"way":[43],"to":[44,48],"achieve":[45],"this":[46,80],"use":[49],"secure":[51],"aggregation":[52],"protocol":[53],"that":[54,92],"comes":[55],"with":[56,180],"cost":[58],"of":[59,62,72,103,153,171,184],"several":[60],"rounds":[61],"interactions":[63],"between":[64,105],"and":[67,108,122,137,157,163,167],"users":[68,109],"in":[69,145],"absence":[71],"fully":[74],"trusted":[75],"third":[76],"party":[77],"(TTP).":[78],"In":[79],"paper,":[81],"we":[82,126],"present":[83],"PROV-FL,":[84],"an":[85],"efficient":[86],"privacy-preserving":[87],"federated":[88],"training":[90,130,177],"system":[91],"securely":[93],"aggregates":[94],"models.":[97],"PROV-FL":[98,129,140,172],"requires":[99],"only":[100],"one":[101],"round":[102],"communication":[104],"without":[114],"TTP.":[116],"Based":[117],"homomorphic":[120],"encryption":[121],"differential":[123],"techniques,":[125],"develop":[127],"two":[128,133],"protocols":[131],"different,":[134],"namely":[135],"single":[136],"multi-aggregator,":[138],"scenarios.":[139],"enjoys":[141],"verifiability":[143],"feature":[144],"which":[146],"can":[149],"verify":[150],"authenticity":[152],"efficiently":[158],"handles":[159],"dynamic":[161],"joining":[162],"leaving.":[164],"We":[165],"evaluate":[166],"compare":[168],"performance":[170],"running":[174],"experiments":[175],"CNN/DNN":[178],"diverse":[182],"set":[183],"real-world":[185],"datasets.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
