{"id":"https://openalex.org/W7134134738","doi":"https://doi.org/10.1109/tdsc.2026.3671267","title":"ClusterGuard: Secure Clustered Aggregation for Federated Learning With Robustness","display_name":"ClusterGuard: Secure Clustered Aggregation for Federated Learning With Robustness","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7134134738","doi":"https://doi.org/10.1109/tdsc.2026.3671267"},"language":null,"primary_location":{"id":"doi:10.1109/tdsc.2026.3671267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2026.3671267","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Dependable and Secure Computing","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/A5128310828","display_name":"Yulin Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulin Zhao","raw_affiliation_strings":["School of Mathematics, Hangzhou Normal University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-3886-3780","affiliations":[{"raw_affiliation_string":"School of Mathematics, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128316903","display_name":"Zhiguo Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Wan","raw_affiliation_strings":["School of Mathematics, Hangzhou Normal University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1319-1224","affiliations":[{"raw_affiliation_string":"School of Mathematics, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079356148","display_name":"Zhangshuang Guan","orcid":"https://orcid.org/0000-0002-8364-4578"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangshuang Guan","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8364-4578","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100780023","display_name":"Guannan Li","orcid":"https://orcid.org/0000-0002-2639-9078"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guannan Li","raw_affiliation_strings":["School of Aerospace Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aerospace Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102848960","display_name":"Miao Guo","orcid":"https://orcid.org/0000-0001-7563-0822"},"institutions":[{"id":"https://openalex.org/I4210124822","display_name":"State Development & Investment Corporation (China)","ror":"https://ror.org/030mq9680","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210124822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Guo","raw_affiliation_strings":["Network Investment (Beijing) Technology Company Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Network Investment (Beijing) Technology Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210124822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":24.2102,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.99182576,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"23","issue":"3","first_page":"7043","last_page":"7058"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9541000127792358,"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":0.9541000127792358,"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":0.02370000071823597,"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":0.008100000210106373,"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/robustness","display_name":"Robustness (evolution)","score":0.7419999837875366},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5424000024795532},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.3718999922275543},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.3555999994277954},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.3280999958515167},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.3165000081062317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8664000034332275},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7419999837875366},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5424000024795532},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4916999936103821},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.42750000953674316},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.3718999922275543},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.3555999994277954},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.3280999958515167},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.28850001096725464},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28139999508857727},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.265500009059906},{"id":"https://openalex.org/C3020028006","wikidata":"https://www.wikidata.org/wiki/Q9158","display_name":"Electronic mail","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tdsc.2026.3671267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2026.3671267","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Dependable and Secure Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5788018621","display_name":null,"funder_award_id":"U22B2032","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6417040682","display_name":null,"funder_award_id":"62272425","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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Federated":[0,32],"Learning,":[1],"as":[2],"a":[3,47,87,110,130,205],"multi-party":[4],"machine":[5],"learning":[6,38],"paradigm,":[7],"has":[8],"garnered":[9],"significant":[10],"attention,":[11],"but":[12],"model":[13,56,78,190],"updates":[14],"may":[15],"still":[16],"leak":[17],"sensitive":[18],"information.":[19],"Secure":[20],"aggregation":[21,45,53,90,179],"protocols":[22],"are":[23],"considered":[24],"an":[25],"effective":[26],"solution":[27,211],"for":[28,153,212],"privacy":[29],"protection":[30],"in":[31,35],"Learning.":[33],"However,":[34],"large-scale":[36],"federated":[37,214],"systems,":[39],"designing":[40],"efficient":[41,124],"and":[42,63,77,101,123,138,143,156,209],"practical":[43,213],"secure":[44,52,88,122,178],"remains":[46],"critical":[48],"challenge.":[49],"Moreover,":[50],"while":[51],"effectively":[54,141],"conceals":[55],"updates,":[57],"it":[58,108],"unintentionally":[59],"complicates":[60],"the":[61,70,188,195],"detection":[62],"mitigation":[64],"of":[65,151,184],"poisoning":[66,145],"attacks,":[67],"thereby":[68],"exposing":[69],"system":[71],"to":[72,98,120,140,176,194],"vulnerabilities":[73],"from":[74],"both":[75,154],"data":[76],"poisoning.":[79],"To":[80],"address":[81],"these":[82],"challenges,":[83],"we":[84,128],"propose":[85],"ClusterGuard,":[86],"clustered":[89],"scheme.":[91],"ClusterGuard":[92,152,169,203],"leverages":[93],"Verifiable":[94],"Random":[95],"Function":[96],"(VRF)":[97],"ensure":[99],"fair":[100],"transparent":[102],"client":[103],"clustering.":[104],"Within":[105],"each":[106],"cluster,":[107],"employs":[109],"lightweight":[111],"key-homomorphic":[112],"masking":[113],"mechanism":[114,133],"combined":[115],"with":[116,159,182],"verifiable":[117],"secret":[118],"sharing":[119],"enable":[121],"aggregation.":[125],"Fur":[126],"thermore,":[127],"design":[129],"dual":[131],"filtering":[132],"based":[134],"on":[135,164],"cosine":[136],"similarity":[137],"norm":[139],"detect":[142],"resist":[144],"attacks.":[146],"We":[147],"provide":[148],"two":[149],"variants":[150],"client-server":[155],"decentralized":[157],"environments":[158],"blockchains,":[160],"respectively.":[161],"Extensive":[162],"experiments":[163],"standard":[165],"datasets":[166],"demonstrate":[167],"that":[168],"achieves":[170],"over":[171],"2\u00d7":[172],"efficiency":[173],"improvement":[174],"compared":[175],"advanced":[177],"methods.":[180],"Even":[181],"20%":[183],"clients":[185],"being":[186],"malicious,":[187],"trained":[189],"maintains":[191],"accuracy":[192],"comparable":[193],"original":[196],"model,":[197],"outperforming":[198],"state-of-the":[199],"art":[200],"robustness":[201],"solutions.":[202],"provides":[204],"more":[206],"efficient,":[207],"secure,":[208],"robust":[210],"learning.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-05-15T06:05:50.897203","created_date":"2026-03-08T00:00:00"}
