{"id":"https://openalex.org/W7136932818","doi":"https://doi.org/10.1145/3787330.3787353","title":"MESA: Secure and Efficient Sample Alignment for Vertical Federated Learning","display_name":"MESA: Secure and Efficient Sample Alignment for Vertical Federated Learning","publication_year":2025,"publication_date":"2025-12-05","ids":{"openalex":"https://openalex.org/W7136932818","doi":"https://doi.org/10.1145/3787330.3787353"},"language":null,"primary_location":{"id":"doi:10.1145/3787330.3787353","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3787330.3787353","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Information Technology: IoT and Smart City","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3787330.3787353","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129397723","display_name":"Dan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Wang","raw_affiliation_strings":["Xi'an University of Science and Technology, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-0855-8984","affiliations":[{"raw_affiliation_string":"Xi'an University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129507162","display_name":"Ying Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Wang","raw_affiliation_strings":["Xi'an University of Science and Technology, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0006-7068-1114","affiliations":[{"raw_affiliation_string":"Xi'an University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I110440473"],"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":null,"issue":null,"first_page":"138","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9458000063896179,"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":0.9458000063896179,"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":0.03400000184774399,"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/T11498","display_name":"Security in Wireless Sensor Networks","score":0.0026000000070780516,"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/federated-learning","display_name":"Federated learning","score":0.6888999938964844},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.6187000274658203},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5317999720573425},{"id":"https://openalex.org/keywords/collusion","display_name":"Collusion","score":0.5311999917030334},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.48910000920295715},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4876999855041504},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.48249998688697815},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.40529999136924744},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.4007999897003174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8302000164985657},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.6888999938964844},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.6187000274658203},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5472000241279602},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5317999720573425},{"id":"https://openalex.org/C2781198186","wikidata":"https://www.wikidata.org/wiki/Q701521","display_name":"Collusion","level":2,"score":0.5311999917030334},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.48910000920295715},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4876999855041504},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.48249998688697815},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.40529999136924744},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.4007999897003174},{"id":"https://openalex.org/C18396474","wikidata":"https://www.wikidata.org/wiki/Q2465888","display_name":"Secure multi-party computation","level":3,"score":0.38199999928474426},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.36820000410079956},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3589000105857849},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.35339999198913574},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C33884865","wikidata":"https://www.wikidata.org/wiki/Q1254335","display_name":"Cryptographic protocol","level":3,"score":0.3352999985218048},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.3303000032901764},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.3165999948978424},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C203062551","wikidata":"https://www.wikidata.org/wiki/Q201339","display_name":"Public-key cryptography","level":3,"score":0.2921999990940094},{"id":"https://openalex.org/C38369872","wikidata":"https://www.wikidata.org/wiki/Q7445009","display_name":"Security analysis","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2711000144481659},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3787330.3787353","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3787330.3787353","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Information Technology: IoT and Smart City","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3787330.3787353","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3787330.3787353","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Information Technology: IoT and Smart City","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6732644438743591,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2022560353","https://openalex.org/W2034753107","https://openalex.org/W2767023267","https://openalex.org/W2972329136","https://openalex.org/W3021654819","https://openalex.org/W3214727018","https://openalex.org/W4308642594","https://openalex.org/W4381785605","https://openalex.org/W4412354406","https://openalex.org/W7092205230"],"related_works":[],"abstract_inverted_index":{"Sample":[0],"alignment":[1,28,63],"performs":[2],"a":[3,73,81],"crucial":[4],"role":[5],"in":[6,64,162],"vertical":[7,66],"federated":[8,67],"learning,":[9],"aiming":[10],"to":[11,86,101,126],"identify":[12],"shared":[13],"user":[14],"samples":[15],"among":[16],"multiple":[17,165],"parties":[18],"without":[19],"exposing":[20],"their":[21],"private":[22],"identifier":[23],"data.":[24],"However,":[25],"most":[26],"existing":[27],"protocols":[29],"are":[30],"designed":[31],"for":[32,38,61],"two-party":[33],"scenarios,":[34],"while":[35,155],"those":[36],"developed":[37],"multi-party":[39,65],"settings":[40],"suffer":[41],"from":[42],"limited":[43],"anti-collusion":[44],"capability":[45],"and":[46,58,104,108,130,141,146,159],"inefficient":[47],"verification":[48],"mechanisms.":[49],"To":[50],"address":[51],"these":[52],"issues,":[53],"we":[54],"propose":[55],"an":[56,92],"efficient":[57,105],"secure":[59,103],"protocol":[60,71],"sample":[62],"learning":[68],"(MESA).":[69],"The":[70],"leverages":[72],"threshold":[74],"oblivious":[75,93],"pseudo-random":[76],"function":[77],"(T-OPRF)":[78],"combined":[79],"with":[80],"distributed":[82],"key":[83],"generation":[84],"scheme":[85],"defend":[87],"against":[88],"collusion":[89],"attacks.":[90,143],"Moreover,":[91],"key\u2013value":[94,106],"store":[95],"encoding":[96],"(OKVS)":[97],"mechanism":[98],"is":[99],"introduced":[100],"enable":[102],"mapping":[107],"decoding,":[109],"thereby":[110],"reducing":[111],"communication":[112,160],"overhead.":[113],"Under":[114],"the":[115,128],"malicious":[116],"security":[117],"model,":[118],"MESA":[119,150],"further":[120],"incorporates":[121],"non-interactive":[122],"zero-knowledge":[123],"proof":[124],"(NIZKP)":[125],"verify":[127],"consistency":[129],"validity":[131],"of":[132],"results":[133,145],"submitted":[134],"by":[135],"clients,":[136],"effectively":[137],"preventing":[138],"data":[139],"forgery":[140],"disruption":[142],"Experimental":[144],"analysis":[147],"demonstrate":[148],"that":[149],"provides":[151],"strong":[152],"privacy":[153],"guarantees":[154],"achieving":[156],"high":[157],"computation":[158],"efficiency":[161],"deployments":[163],"involving":[164],"untrusted":[166],"clients.":[167]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-17T00:00:00"}