{"id":"https://openalex.org/W3036791758","doi":"https://doi.org/10.1109/tnse.2020.3002796","title":"Zero Knowledge Clustering Based Adversarial Mitigation in Heterogeneous Federated Learning","display_name":"Zero Knowledge Clustering Based Adversarial Mitigation in Heterogeneous Federated Learning","publication_year":2020,"publication_date":"2020-06-16","ids":{"openalex":"https://openalex.org/W3036791758","doi":"https://doi.org/10.1109/tnse.2020.3002796","mag":"3036791758"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2020.3002796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2020.3002796","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","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/A5102732574","display_name":"Zheyi Chen","orcid":"https://orcid.org/0009-0003-9631-2921"},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheyi Chen","raw_affiliation_strings":["Department of Computer and Information Sciences, Towson University, Towson, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Towson University, Towson, MD, USA","institution_ids":["https://openalex.org/I4322298"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103074653","display_name":"Tian Pu","orcid":"https://orcid.org/0000-0002-5150-8053"},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pu Tian","raw_affiliation_strings":["Department of Computer and Information Sciences, Towson University, Towson, MD, USA"],"raw_orcid":"https://orcid.org/0000-0002-5150-8053","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Towson University, Towson, MD, USA","institution_ids":["https://openalex.org/I4322298"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083406034","display_name":"Weixian Liao","orcid":"https://orcid.org/0000-0003-1444-8925"},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weixian Liao","raw_affiliation_strings":["Department of Computer and Information Sciences, Towson University, Towson, MD, USA"],"raw_orcid":"https://orcid.org/0000-0003-1444-8925","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Towson University, Towson, MD, USA","institution_ids":["https://openalex.org/I4322298"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002139930","display_name":"Wei Yu","orcid":"https://orcid.org/0000-0003-4522-7340"},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Yu","raw_affiliation_strings":["Department of Computer and Information Sciences, Towson University, Towson, MD, USA"],"raw_orcid":"https://orcid.org/0000-0003-4522-7340","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Towson University, Towson, MD, USA","institution_ids":["https://openalex.org/I4322298"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4322298"],"apc_list":null,"apc_paid":null,"fwci":6.4478,"has_fulltext":false,"cited_by_count":107,"citation_normalized_percentile":{"value":0.97229848,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"8","issue":"2","first_page":"1070","last_page":"1083"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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":0.9998000264167786,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9983999729156494,"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/T11273","display_name":"Advanced Graph Neural Networks","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8229902386665344},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6023898720741272},{"id":"https://openalex.org/keywords/unavailability","display_name":"Unavailability","score":0.5874571204185486},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5599499940872192},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5147933959960938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5106754899024963},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4412626624107361},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41211628913879395},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41067227721214294},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10174068808555603}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8229902386665344},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6023898720741272},{"id":"https://openalex.org/C2780505938","wikidata":"https://www.wikidata.org/wiki/Q17093282","display_name":"Unavailability","level":2,"score":0.5874571204185486},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5599499940872192},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5147933959960938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5106754899024963},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4412626624107361},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41211628913879395},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41067227721214294},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10174068808555603},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2020.3002796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2020.3002796","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G494818735","display_name":"Career: Towards Secured and Efficient Energy-based Critical Infrastructure","funder_award_id":"1350145","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1971784203","https://openalex.org/W1973767013","https://openalex.org/W2011430131","https://openalex.org/W2072641892","https://openalex.org/W2095705004","https://openalex.org/W2098897917","https://openalex.org/W2124861999","https://openalex.org/W2272844645","https://openalex.org/W2319660501","https://openalex.org/W2541884796","https://openalex.org/W2596636257","https://openalex.org/W2734358244","https://openalex.org/W2780823890","https://openalex.org/W2783522756","https://openalex.org/W2786070938","https://openalex.org/W2798720628","https://openalex.org/W2800017313","https://openalex.org/W2807006176","https://openalex.org/W2810065831","https://openalex.org/W2810080315","https://openalex.org/W2894622363","https://openalex.org/W2901044055","https://openalex.org/W2903356604","https://openalex.org/W2907421153","https://openalex.org/W2917386416","https://openalex.org/W2946633206","https://openalex.org/W2948502305","https://openalex.org/W2950447132","https://openalex.org/W2963318081","https://openalex.org/W2963422767","https://openalex.org/W2963495269","https://openalex.org/W2964248614","https://openalex.org/W2971076825","https://openalex.org/W2982255332","https://openalex.org/W2989289980","https://openalex.org/W2990595670","https://openalex.org/W2997108884","https://openalex.org/W2997357271","https://openalex.org/W3002416713","https://openalex.org/W3002823324","https://openalex.org/W3017123256","https://openalex.org/W3035498193","https://openalex.org/W3038028469","https://openalex.org/W3105122387","https://openalex.org/W4288101682","https://openalex.org/W4288414371","https://openalex.org/W4288578176","https://openalex.org/W4318619660","https://openalex.org/W6728757088","https://openalex.org/W6752029299","https://openalex.org/W6752429284","https://openalex.org/W6752600739","https://openalex.org/W6753140532","https://openalex.org/W6756840679","https://openalex.org/W6758201434","https://openalex.org/W6759226220","https://openalex.org/W6762462524","https://openalex.org/W6768324076","https://openalex.org/W6768537144","https://openalex.org/W6770114989"],"related_works":["https://openalex.org/W4237235066","https://openalex.org/W2026539069","https://openalex.org/W207884067","https://openalex.org/W3127016596","https://openalex.org/W2365973415","https://openalex.org/W1482423459","https://openalex.org/W2996457675","https://openalex.org/W3146085540","https://openalex.org/W2129918226","https://openalex.org/W843992174"],"abstract_inverted_index":{"The":[0],"simultaneous":[1],"development":[2],"of":[3,9,58,78,95,126],"deep":[4,59],"learning":[5,31,40,80],"techniques":[6],"and":[7,24,42,69,98,159,166,186],"Internet":[8],"Things":[10],"(IoT)/Cyber-physical":[11],"Systems":[12],"(CPS)":[13],"technologies":[14],"has":[15,32,43,136],"afforded":[16],"untold":[17],"possibilities":[18],"for":[19,163],"improving":[20],"distributed":[21,76],"computing,":[22],"sensing,":[23],"data":[25,97,189],"analysis.":[26],"Among":[27],"these":[28,103],"technologies,":[29],"federated":[30,79],"received":[33],"increased":[34],"attention":[35],"as":[36],"a":[37,87,111,133,182],"privacy-preserving":[38],"collaborative":[39],"paradigm,":[41],"shown":[44],"significant":[45],"potential":[46],"in":[47,105,181],"IoT/CPS-driven":[48],"large-scale":[49],"smart-world":[50],"systems.":[51],"At":[52],"the":[53,56,75,93,124,144,154,191],"same":[54],"time,":[55],"vulnerabilities":[57],"neural":[60],"networks,":[61],"especially":[62],"to":[63,92,116,139,156],"adversarial":[64,85,118,128],"attacks,":[65],"cannot":[66],"be":[67,72],"overstated":[68],"should":[70],"not":[71],"minimized.":[73],"Moreover,":[74],"nature":[77],"makes":[81],"defense":[82],"against":[83],"such":[84],"attacks":[86,198],"more":[88],"challenging":[89],"problem":[90,125],"due":[91],"unavailability":[94],"local":[96],"resource":[99],"heterogeneity.":[100],"To":[101],"tackle":[102],"challenges,":[104],"this":[106],"paper,":[107],"we":[108,121,142],"propose":[109],"ZeKoC,":[110],"Zero":[112],"Knowledge":[113],"Clustering":[114],"approach":[115,152,194],"mitigating":[117],"attacks.":[119],"Particularly,":[120],"first":[122],"formulate":[123],"resource-constrained":[127],"mitigation.":[129],"Specifically,":[130],"noting":[131],"that":[132,171],"global":[134],"server":[135,155],"no":[137],"access":[138],"training":[140],"samples,":[141],"reformulate":[143],"unsupervised":[145],"weight":[146,161,164],"clustering":[147],"problem.":[148],"Our":[149],"proposed":[150,192],"ZeKoC":[151,193],"allows":[153],"automatically":[157],"split":[158],"merge":[160],"clusters":[162],"selection":[165],"aggregation.":[167],"Theoretical":[168],"analysis":[169],"demonstrates":[170],"convergence":[172],"is":[173],"guaranteed.":[174],"Further,":[175],"our":[176],"experimental":[177],"results":[178],"illustrate":[179],"that,":[180],"non-i.i.d.":[183],"(i.e.,":[184],"independent":[185],"identically":[187],"distributed)":[188],"setting,":[190],"successfully":[195],"mitigates":[196],"general":[197],"while":[199],"outperforming":[200],"state-of-art":[201],"schemes.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":2}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}