{"id":"https://openalex.org/W4392904384","doi":"https://doi.org/10.1109/icassp48485.2024.10446283","title":"Privacy Preserving Federated Learning from Multi-Input Functional Proxy Re-Encryption","display_name":"Privacy Preserving Federated Learning from Multi-Input Functional Proxy Re-Encryption","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392904384","doi":"https://doi.org/10.1109/icassp48485.2024.10446283"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101761507","display_name":"Xinyu Feng","orcid":"https://orcid.org/0000-0003-1068-383X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Feng","raw_affiliation_strings":["School of Software and Microelectronics","National Engineering Research Center for Software Engineering, Peking University","PKU-OCTA Laboratory for Blockchain and Privacy Computing, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software and Microelectronics","institution_ids":[]},{"raw_affiliation_string":"National Engineering Research Center for Software Engineering, Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"PKU-OCTA Laboratory for Blockchain and Privacy Computing, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035938543","display_name":"Qingni Shen","orcid":"https://orcid.org/0000-0002-0605-6043"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingni Shen","raw_affiliation_strings":["School of Software and Microelectronics","National Engineering Research Center for Software Engineering, Peking University","PKU-OCTA Laboratory for Blockchain and Privacy Computing, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software and Microelectronics","institution_ids":[]},{"raw_affiliation_string":"National Engineering Research Center for Software Engineering, Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"PKU-OCTA Laboratory for Blockchain and Privacy Computing, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331540","display_name":"Cong Li","orcid":"https://orcid.org/0000-0001-6604-0708"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Li","raw_affiliation_strings":["Peking University,School of Computer Science","National Engineering Research Center for Software Engineering, Peking University","PKU-OCTA Laboratory for Blockchain and Privacy Computing, Peking University","School of Computer Science, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,School of Computer Science","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"National Engineering Research Center for Software Engineering, Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"PKU-OCTA Laboratory for Blockchain and Privacy Computing, Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088688674","display_name":"Yuejian Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuejian Fang","raw_affiliation_strings":["School of Software and Microelectronics","National Engineering Research Center for Software Engineering, Peking University","PKU-OCTA Laboratory for Blockchain and Privacy Computing, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software and Microelectronics","institution_ids":[]},{"raw_affiliation_string":"National Engineering Research Center for Software Engineering, Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"PKU-OCTA Laboratory for Blockchain and Privacy Computing, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041563693","display_name":"Zhonghai Wu","orcid":"https://orcid.org/0000-0003-1268-836X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhonghai Wu","raw_affiliation_strings":["School of Software and Microelectronics","National Engineering Research Center for Software Engineering, Peking University","PKU-OCTA Laboratory for Blockchain and Privacy Computing, Peking University","School of Computer Science, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software and Microelectronics","institution_ids":[]},{"raw_affiliation_string":"National Engineering Research Center for Software Engineering, Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"PKU-OCTA Laboratory for Blockchain and Privacy Computing, Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":3.9116,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.9474268,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"6955","last_page":"6959"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9672999978065491,"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":0.8313118815422058},{"id":"https://openalex.org/keywords/homomorphic-encryption","display_name":"Homomorphic encryption","score":0.760765552520752},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.760270357131958},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.5919103026390076},{"id":"https://openalex.org/keywords/functional-encryption","display_name":"Functional encryption","score":0.5843605995178223},{"id":"https://openalex.org/keywords/proxy-re-encryption","display_name":"Proxy re-encryption","score":0.5684422254562378},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5043514966964722},{"id":"https://openalex.org/keywords/client-side-encryption","display_name":"Client-side encryption","score":0.45794883370399475},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4540473222732544},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4450320303440094},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.43923497200012207},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.4179573655128479},{"id":"https://openalex.org/keywords/information-leakage","display_name":"Information leakage","score":0.4171569347381592},{"id":"https://openalex.org/keywords/on-the-fly-encryption","display_name":"On-the-fly encryption","score":0.28379499912261963},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22775566577911377},{"id":"https://openalex.org/keywords/public-key-cryptography","display_name":"Public-key cryptography","score":0.17440643906593323},{"id":"https://openalex.org/keywords/ciphertext","display_name":"Ciphertext","score":0.1387142837047577},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.0840035080909729}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8313118815422058},{"id":"https://openalex.org/C158338273","wikidata":"https://www.wikidata.org/wiki/Q2154943","display_name":"Homomorphic encryption","level":3,"score":0.760765552520752},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.760270357131958},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.5919103026390076},{"id":"https://openalex.org/C2780746774","wikidata":"https://www.wikidata.org/wiki/Q17014981","display_name":"Functional encryption","level":4,"score":0.5843605995178223},{"id":"https://openalex.org/C2776861820","wikidata":"https://www.wikidata.org/wiki/Q7252899","display_name":"Proxy re-encryption","level":4,"score":0.5684422254562378},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5043514966964722},{"id":"https://openalex.org/C166501710","wikidata":"https://www.wikidata.org/wiki/Q5132476","display_name":"Client-side encryption","level":4,"score":0.45794883370399475},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4540473222732544},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4450320303440094},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.43923497200012207},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.4179573655128479},{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.4171569347381592},{"id":"https://openalex.org/C147977885","wikidata":"https://www.wikidata.org/wiki/Q117010","display_name":"On-the-fly encryption","level":3,"score":0.28379499912261963},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22775566577911377},{"id":"https://openalex.org/C203062551","wikidata":"https://www.wikidata.org/wiki/Q201339","display_name":"Public-key cryptography","level":3,"score":0.17440643906593323},{"id":"https://openalex.org/C93974786","wikidata":"https://www.wikidata.org/wiki/Q1589480","display_name":"Ciphertext","level":3,"score":0.1387142837047577},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0840035080909729},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W16762060","https://openalex.org/W2608091826","https://openalex.org/W2768174108","https://openalex.org/W2787005258","https://openalex.org/W2984242138","https://openalex.org/W3011768388","https://openalex.org/W3013981106","https://openalex.org/W3015535799","https://openalex.org/W3016632787","https://openalex.org/W3022244822","https://openalex.org/W3040384242","https://openalex.org/W3043303805","https://openalex.org/W3046112435","https://openalex.org/W3093021001","https://openalex.org/W3096328345","https://openalex.org/W3104454153","https://openalex.org/W3140753276","https://openalex.org/W3155045906","https://openalex.org/W3208814888","https://openalex.org/W4318619660","https://openalex.org/W4323793447","https://openalex.org/W4365503997","https://openalex.org/W6728757088","https://openalex.org/W6780438843","https://openalex.org/W6851999779"],"related_works":["https://openalex.org/W2887424102","https://openalex.org/W4296973715","https://openalex.org/W2094124631","https://openalex.org/W3093310219","https://openalex.org/W4387193529","https://openalex.org/W3101646702","https://openalex.org/W2181935391","https://openalex.org/W2789790696","https://openalex.org/W2325737963","https://openalex.org/W4385414581"],"abstract_inverted_index":{"Federated":[0],"learning":[1],"(FL)":[2],"allows":[3,139],"different":[4],"participants":[5],"to":[6,106,144],"collaborate":[7],"on":[8,66,83,135],"model":[9],"training":[10],"without":[11,148,180],"transmitting":[12],"raw":[13,34],"data,":[14],"thereby":[15],"protecting":[16],"user":[17],"data":[18,35],"privacy.":[19],"However,":[20],"FL":[21,63,80,129,163],"faces":[22],"a":[23,116,127,140],"series":[24],"of":[25,33,97,103,156],"security":[26,71,89],"and":[27,50,72,99,101,124,153,176],"privacy":[28,41,49,56,133,161],"issues":[29],"(e.g.":[30],"the":[31,62,107,146,150,154],"leakage":[32,102],"from":[36,87],"publicly":[37],"shared":[38],"parameters).":[39],"Several":[40],"protection":[42],"technologies,":[43],"such":[44],"as":[45],"homomorphic":[46],"encryption,":[47,52],"differential":[48],"functional":[51,67,84,119],"are":[53],"introduced":[54],"for":[55],"enhancement":[57],"in":[58,162],"FL.":[59],"Among":[60],"them,":[61],"frameworks":[64,81],"based":[65,82,134],"encryption":[68,85],"better":[69,132,160],"balance":[70],"performance,":[73],"thus":[74,158],"receiving":[75],"increasing":[76],"attention.":[77],"The":[78,165],"previous":[79],"suffer":[86],"several":[88],"issues,":[90,113],"including":[91],"attacks":[92],"by":[93],"combining":[94],"multiple":[95],"rounds":[96],"ciphertexts":[98],"keys,":[100],"global":[104],"parameters":[105,147,152],"central":[108,142],"server.":[109],"To":[110],"tackle":[111],"these":[112],"we":[114],"propose":[115],"novel":[117],"multi-input":[118],"proxy":[120],"re-encryption":[121],"(MI-FPRE)":[122],"scheme":[123],"further":[125],"design":[126],"new":[128],"framework":[130,138,171],"with":[131],"MI-FPRE.":[136],"Our":[137],"semi-trusted":[141],"server":[143],"aggregate":[145],"knowing":[149],"intermediate":[151],"result":[155],"aggregation,":[157],"achieves":[159,172],"training.":[164],"experimental":[166],"results":[167],"indicate":[168],"that":[169],"our":[170],"less":[173],"communication":[174],"overhead":[175],"higher":[177],"computational":[178],"efficiency":[179],"losing":[181],"accuracy.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}