{"id":"https://openalex.org/W4210508597","doi":"https://doi.org/10.1109/tii.2022.3145837","title":"Secure Partial Aggregation: Making Federated Learning More Robust for Industry 4.0 Applications","display_name":"Secure Partial Aggregation: Making Federated Learning More Robust for Industry 4.0 Applications","publication_year":2022,"publication_date":"2022-01-25","ids":{"openalex":"https://openalex.org/W4210508597","doi":"https://doi.org/10.1109/tii.2022.3145837"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3145837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3145837","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"},"type":"article","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/A5044345050","display_name":"Jiqiang Gao","orcid":"https://orcid.org/0000-0002-7850-3869"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiqiang Gao","raw_affiliation_strings":["Tianjin Key Laboratory of Network and Data Security Technology, College of Cyber Science, College of Computer Science, Nankai University, Nankai, China"],"raw_orcid":"https://orcid.org/0000-0002-7850-3869","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Network and Data Security Technology, College of Cyber Science, College of Computer Science, Nankai University, Nankai, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034371700","display_name":"Baolei Zhang","orcid":"https://orcid.org/0000-0002-1807-5946"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baolei Zhang","raw_affiliation_strings":["Tianjin Key Laboratory of Network and Data Security Technology, College of Cyber Science, College of Computer Science, Nankai University, Nankai, China"],"raw_orcid":"https://orcid.org/0000-0002-1807-5946","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Network and Data Security Technology, College of Cyber Science, College of Computer Science, Nankai University, Nankai, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001758369","display_name":"Xiaojie Guo","orcid":"https://orcid.org/0000-0001-5295-2781"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Guo","raw_affiliation_strings":["Tianjin Key Laboratory of Network and Data Security Technology, College of Cyber Science, College of Computer Science, Nankai University, Nankai, China"],"raw_orcid":"https://orcid.org/0000-0001-5295-2781","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Network and Data Security Technology, College of Cyber Science, College of Computer Science, Nankai University, Nankai, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065487579","display_name":"Thar Baker","orcid":"https://orcid.org/0000-0002-5166-4873"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Thar Baker","raw_affiliation_strings":["Department of Computer Science, College of Computing and Informatics, University of Sharjah, Sharjah, UAE"],"raw_orcid":"https://orcid.org/0000-0002-5166-4873","affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Computing and Informatics, University of Sharjah, Sharjah, UAE","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101955934","display_name":"Min Li","orcid":"https://orcid.org/0000-0002-1291-3603"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["Tianjin Key Laboratory of Network and Data Security Technology, College of Cyber Science, College of Computer Science, Nankai University, Nankai, China"],"raw_orcid":"https://orcid.org/0000-0002-1291-3603","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Network and Data Security Technology, College of Cyber Science, College of Computer Science, Nankai University, Nankai, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060212061","display_name":"Zheli Liu","orcid":"https://orcid.org/0000-0002-2984-2661"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheli Liu","raw_affiliation_strings":["Tianjin Key Laboratory of Network and Data Security Technology, College of Cyber Science, College of Computer Science, Nankai University, Nankai, China"],"raw_orcid":"https://orcid.org/0000-0002-2984-2661","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Network and Data Security Technology, College of Cyber Science, College of Computer Science, Nankai University, Nankai, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5044345050"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":4.4439,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.94981682,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"18","issue":"9","first_page":"6340","last_page":"6348"},"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":0.9965999722480774,"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":0.9937999844551086,"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/upload","display_name":"Upload","score":0.754236102104187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7491359710693359},{"id":"https://openalex.org/keywords/backdoor","display_name":"Backdoor","score":0.6117709279060364},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5967271327972412},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.5481756329536438},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5291892290115356},{"id":"https://openalex.org/keywords/cryptographic-protocol","display_name":"Cryptographic protocol","score":0.5036324858665466},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.4703647792339325},{"id":"https://openalex.org/keywords/server-side","display_name":"Server-side","score":0.4457227289676666},{"id":"https://openalex.org/keywords/sandbox","display_name":"Sandbox (software development)","score":0.4206683933734894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35084590315818787},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.26773732900619507},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21709591150283813}],"concepts":[{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.754236102104187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7491359710693359},{"id":"https://openalex.org/C2781045450","wikidata":"https://www.wikidata.org/wiki/Q254569","display_name":"Backdoor","level":2,"score":0.6117709279060364},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5967271327972412},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.5481756329536438},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5291892290115356},{"id":"https://openalex.org/C33884865","wikidata":"https://www.wikidata.org/wiki/Q1254335","display_name":"Cryptographic protocol","level":3,"score":0.5036324858665466},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.4703647792339325},{"id":"https://openalex.org/C14414571","wikidata":"https://www.wikidata.org/wiki/Q519081","display_name":"Server-side","level":2,"score":0.4457227289676666},{"id":"https://openalex.org/C167981075","wikidata":"https://www.wikidata.org/wiki/Q2667186","display_name":"Sandbox (software development)","level":2,"score":0.4206683933734894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35084590315818787},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.26773732900619507},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21709591150283813},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tii.2022.3145837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3145837","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/5a99680f-2322-479f-993c-0484c8c4e5df","is_oa":false,"landing_page_url":"https://research.brighton.ac.uk/en/publications/5a99680f-2322-479f-993c-0484c8c4e5df","pdf_url":null,"source":{"id":"https://openalex.org/S4306401758","display_name":"University of Brighton Repository (University of Brighton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71637028","host_organization_name":"University of Brighton","host_organization_lineage":["https://openalex.org/I71637028"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Gao, J, Zhang, B, Guo, X, Baker, T, Li, M & Liu, Z 2022, 'Secure Partial Aggregation : Making Federated Learning More Robust for Industry 4.0 Applications', IEEE Transactions on Industrial Informatics, vol. 18, no. 9, pp. 6340 - 6348. https://doi.org/10.1109/TII.2022.3145837","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G7246928032","display_name":null,"funder_award_id":"62032012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2402235285","https://openalex.org/W2535838896","https://openalex.org/W2752689052","https://openalex.org/W2767079719","https://openalex.org/W2789911054","https://openalex.org/W2794685135","https://openalex.org/W2805074088","https://openalex.org/W2810065831","https://openalex.org/W2811266402","https://openalex.org/W2846676623","https://openalex.org/W2941663220","https://openalex.org/W2942091739","https://openalex.org/W2951368041","https://openalex.org/W2954188590","https://openalex.org/W2955213239","https://openalex.org/W2963179579","https://openalex.org/W2963456518","https://openalex.org/W2970408908","https://openalex.org/W2995164118","https://openalex.org/W3000479830","https://openalex.org/W3005589384","https://openalex.org/W3028867652","https://openalex.org/W3041631353","https://openalex.org/W3110845456","https://openalex.org/W3121442875","https://openalex.org/W3171802458","https://openalex.org/W3176364684","https://openalex.org/W3178955539","https://openalex.org/W4297687186","https://openalex.org/W4318619660","https://openalex.org/W6728757088","https://openalex.org/W6743821447","https://openalex.org/W6748786018","https://openalex.org/W6752191696","https://openalex.org/W6752600739","https://openalex.org/W6765541894","https://openalex.org/W6771533808","https://openalex.org/W6773039429","https://openalex.org/W6778434676","https://openalex.org/W6797075316","https://openalex.org/W6798666893"],"related_works":["https://openalex.org/W4320031223","https://openalex.org/W4200629851","https://openalex.org/W4281902577","https://openalex.org/W4309417370","https://openalex.org/W4292107232","https://openalex.org/W3009072493","https://openalex.org/W4386080799","https://openalex.org/W4213435773","https://openalex.org/W2390520583","https://openalex.org/W2966818542"],"abstract_inverted_index":{"Big":[0],"data,":[1],"due":[2],"to":[3,36,69,84,136],"its":[4],"promotion":[5],"for":[6],"industrial":[7],"intelligence,":[8],"has":[9],"become":[10],"the":[11,14,40,55,102,127,130,139],"cornerstone":[12],"of":[13,42,106,118,129],"Industry":[15],"4.0":[16],"era.":[17],"<italic":[18,93],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[19,94],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Federated":[20],"learning</i>":[21],",":[22],"proposed":[23],"by":[24],"Google,":[25],"can":[26,114,148],"effectively":[27],"integrate":[28],"data":[29],"from":[30,71,134],"different":[31,34],"devices":[32],"and":[33,58,104],"domains":[35],"train":[37],"models":[38,113],"under":[39],"premise":[41],"privacy":[43,87,103,150],"preservation.":[44],"Unfortunately,":[45],"this":[46],"new":[47,65],"training":[48],"paradigm":[49],"faces":[50],"security":[51],"risks":[52],"both":[53],"on":[54],"client":[56],"side":[57],"server":[59],"side.":[60],"This":[61],"article":[62],"proposes":[63],"a":[64,122],"federated":[66,107],"learning":[67],"scheme":[68],"defend":[70],"client-side":[72],"malicious":[73],"uploads":[74],"(e.g.,":[75,89],"backdoor":[76,131],"attacks).":[77],"In":[78],"addition,":[79],"we":[80,99,143],"use":[81],"cryptography":[82],"techniques":[83],"prevent":[85],"server-side":[86],"attacks":[88],"membership":[90],"inference).":[91],"The":[92,109],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">secure":[95],"partial":[96],"aggregation</i>":[97],"protocol":[98,147],"designed":[100],"improves":[101],"robustness":[105],"learning.":[108],"experiments":[110],"show":[111],"that":[112,145],"achieve":[115],"high":[116],"accuracy":[117,128],"over":[119],"90%":[120],"with":[121,138],"proper":[123],"upload":[124],"proportion,":[125],"while":[126],"attack":[132],"decreased":[133],"99.5%":[135],"0%":[137],"best":[140],"result.":[141],"Meanwhile,":[142],"prove":[144],"our":[146],"disable":[149],"attacks.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
