{"id":"https://openalex.org/W4308217392","doi":"https://doi.org/10.1109/iciscae55891.2022.9927588","title":"Efficient and Verifiable Privacy-Preserving Federal Learning Framework","display_name":"Efficient and Verifiable Privacy-Preserving Federal Learning Framework","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4308217392","doi":"https://doi.org/10.1109/iciscae55891.2022.9927588"},"language":"en","primary_location":{"id":"doi:10.1109/iciscae55891.2022.9927588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciscae55891.2022.9927588","pdf_url":null,"source":{"id":"https://openalex.org/S4363608062","display_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","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/A5102749129","display_name":"Shilu Wang","orcid":"https://orcid.org/0009-0001-4287-0659"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shilu Wang","raw_affiliation_strings":["Nanchang University,Nanchang,China","Nanchang University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang University,Nanchang,China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100741004","display_name":"Junhong Wang","orcid":"https://orcid.org/0000-0002-2859-3616"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhong Wang","raw_affiliation_strings":["Nanchang University,Nanchang,China","Nanchang University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang University,Nanchang,China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755635","display_name":"Xiangjun Li","orcid":"https://orcid.org/0000-0003-4901-6065"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjun Li","raw_affiliation_strings":["Nanchang University,Nanchang,China","Nanchang University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang University,Nanchang,China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013284024","display_name":"Lizhen Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhen Hong","raw_affiliation_strings":["Nanchang University,Nanchang,China","Nanchang University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang University,Nanchang,China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141649914"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":null,"first_page":"690","last_page":"695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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":0.9958000183105469,"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/verifiable-secret-sharing","display_name":"Verifiable secret sharing","score":0.9283671975135803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7194555997848511},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5006020069122314},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4346492290496826},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.41401684284210205},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07150417566299438}],"concepts":[{"id":"https://openalex.org/C85847156","wikidata":"https://www.wikidata.org/wiki/Q59015987","display_name":"Verifiable secret sharing","level":3,"score":0.9283671975135803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7194555997848511},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5006020069122314},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4346492290496826},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.41401684284210205},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07150417566299438},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciscae55891.2022.9927588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciscae55891.2022.9927588","pdf_url":null,"source":{"id":"https://openalex.org/S4363608062","display_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2027090774","https://openalex.org/W2046235404","https://openalex.org/W2587570135","https://openalex.org/W2746415647","https://openalex.org/W2783357829","https://openalex.org/W2793546227","https://openalex.org/W2794180321","https://openalex.org/W2940810329","https://openalex.org/W4300427714","https://openalex.org/W4318619660","https://openalex.org/W6728757088","https://openalex.org/W6738383168"],"related_works":["https://openalex.org/W2584827882","https://openalex.org/W2538581760","https://openalex.org/W3195097297","https://openalex.org/W4225340788","https://openalex.org/W3038106605","https://openalex.org/W2513267613","https://openalex.org/W3049084372","https://openalex.org/W2528109871","https://openalex.org/W2940702331","https://openalex.org/W2905822832"],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,21,27,85,104,120,125,133,140,146,152,162,173,176,181,185,188,197,209,223,230,240],"3":[3],"major":[4],"problems":[5],"of":[6,23,30,87,106,187],"gradient":[7,13,18,75],"privacy":[8],"leakage":[9],"during":[10],"local":[11],"model":[12,17,70],"collection":[14],"and":[15,26,45,53,62,100,102,117,137,159,169,183,199,208,214,222,225,235],"global":[16],"aggregation":[19,24,63,135,148],"update,":[20],"non-verifiability":[22],"results,":[25],"huge":[28],"overhead":[29],"applying":[31],"homomorphic":[32],"encryption":[33,60,193,198],"techniques":[34,61],"in":[35,68],"existing":[36],"federal":[37,48],"learning":[38,49],"techniques.":[39],"In":[40,82],"this":[41,69],"paper,":[42],"an":[43],"efficient":[44],"verifiable":[46],"privacy-preserving":[47],"framework":[50,194],"is":[51,219],"investigated":[52],"proposed":[54],"by":[55],"combining":[56],"neural":[57],"networks,":[58],"batch":[59,113],"principles.":[64],"The":[65,142,233],"iterative":[66],"algorithm":[67],"training":[71],"process":[72],"uses":[73,145],"stochastic":[74],"descent":[76],"+":[77],"extreme":[78],"value":[79],"convergence":[80],"method.":[81],"each":[83,88,107,167,170],"iteration,":[84],"weights":[86,105,127,154,165,174,182,186],"data":[89,108],"source":[90,109],"are":[91,110,227,237],"first":[92],"trained":[93],"locally":[94],"using":[95,112,132,175],"fully":[96],"connected":[97],"network,":[98],"Alexnet,":[99],"LSTM,":[101],"then":[103,138,160],"encrypted":[111,126,153,164],"crypt":[114],"technology":[115],"(BatchCrypt)":[116],"delivered":[118],"to":[119,150,166,179],"cloud":[121,143],"server,":[122],"which":[123],"aggregates":[124],"received":[128,155],"from":[129,156],"all":[130,157],"clients":[131,158],"average":[134,147],"principle":[136,149],"distributes":[139,161],"latest":[141,163],"server":[144],"aggregate":[151],"client,":[168],"client":[171],"decrypts":[172],"corresponding":[177],"keys":[178],"obtain":[180],"update":[184],"overall":[189],"model.":[190],"Our":[191],"BatchCrypt":[192],"greatly":[195],"reduces":[196],"decryption":[200],"time":[201],"consumption":[202],"compared":[203],"with":[204],"Tencent's":[205],"mainstream":[206],"solutions,":[207],"cost":[210],"difference":[211],"between":[212],"Loss":[213],"Accuracy":[215],"under":[216,229,239],"different":[217],"Epochs":[218],"very":[220],"small,":[221],"security":[224,234],"stability":[226,236],"higher":[228,238],"\u201cpoison":[231,241],"test\u201d.":[232,242]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
