{"id":"https://openalex.org/W4387185306","doi":"https://doi.org/10.3233/faia230257","title":"Robust Federated Learning Method Against Data and Model Poisoning Attacks with Heterogeneous Data Distribution","display_name":"Robust Federated Learning Method Against Data and Model Poisoning Attacks with Heterogeneous Data Distribution","publication_year":2023,"publication_date":"2023-09-28","ids":{"openalex":"https://openalex.org/W4387185306","doi":"https://doi.org/10.3233/faia230257"},"language":"en","primary_location":{"id":"doi:10.3233/faia230257","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230257","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230257","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230257","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103152926","display_name":"Ebtisaam Alharbi","orcid":"https://orcid.org/0000-0002-3969-3209"},"institutions":[{"id":"https://openalex.org/I199693650","display_name":"Umm al-Qura University","ror":"https://ror.org/01xjqrm90","country_code":"SA","type":"education","lineage":["https://openalex.org/I199693650"]},{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB","SA"],"is_corresponding":true,"raw_author_name":"Ebtisaam Alharbi","raw_affiliation_strings":["Department of Computer Science, Umm Al-Qura University, Saudi Arabia","School of Computing and Communications, Lancaster University, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-3969-3209","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Umm Al-Qura University, Saudi Arabia","institution_ids":["https://openalex.org/I199693650"]},{"raw_affiliation_string":"School of Computing and Communications, Lancaster University, United Kingdom","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026278797","display_name":"Leandro Soriano Marcolino","orcid":"https://orcid.org/0000-0002-3337-8611"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Leandro Soriano Marcolino","raw_affiliation_strings":["School of Computing and Communications, Lancaster University, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-3337-8611","affiliations":[{"raw_affiliation_string":"School of Computing and Communications, Lancaster University, United Kingdom","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000804944","display_name":"Antonios Gouglidis","orcid":"https://orcid.org/0000-0002-4702-3942"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Antonios Gouglidis","raw_affiliation_strings":["School of Computing and Communications, Lancaster University, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-4702-3942","affiliations":[{"raw_affiliation_string":"School of Computing and Communications, Lancaster University, United Kingdom","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069951778","display_name":"Qiang Ni","orcid":"https://orcid.org/0000-0002-4593-1656"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qiang Ni","raw_affiliation_strings":["School of Computing and Communications, Lancaster University, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-4593-1656","affiliations":[{"raw_affiliation_string":"School of Computing and Communications, Lancaster University, United Kingdom","institution_ids":["https://openalex.org/I67415387"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103152926"],"corresponding_institution_ids":["https://openalex.org/I199693650","https://openalex.org/I67415387"],"apc_list":null,"apc_paid":null,"fwci":3.0326,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.92553818,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9506000280380249,"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":0.9506000280380249,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9018999934196472,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7858505249023438},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.7482734322547913},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7174244523048401},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6573072671890259},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.590212345123291},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5293090343475342},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4848100244998932},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.4723982512950897},{"id":"https://openalex.org/keywords/compromise","display_name":"Compromise","score":0.41420310735702515},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.41067782044410706},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37827450037002563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34043532609939575},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.301388144493103},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09797936677932739},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.09227392077445984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7858505249023438},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.7482734322547913},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7174244523048401},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6573072671890259},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.590212345123291},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5293090343475342},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4848100244998932},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.4723982512950897},{"id":"https://openalex.org/C46355384","wikidata":"https://www.wikidata.org/wiki/Q726686","display_name":"Compromise","level":2,"score":0.41420310735702515},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.41067782044410706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37827450037002563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34043532609939575},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.301388144493103},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09797936677932739},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.09227392077445984},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/faia230257","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230257","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230257","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:eprints.lancs.ac.uk:204514","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprints.lancs.ac.uk/id/eprint/204514/1/1129Alharbi.pdf","source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":{"id":"doi:10.3233/faia230257","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230257","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230257","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324047","display_name":"Umm Al-Qura University","ror":"https://ror.org/01xjqrm90"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387185306.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1599454686","https://openalex.org/W2180566385","https://openalex.org/W2541884796","https://openalex.org/W2750384547","https://openalex.org/W2752689052","https://openalex.org/W2788816110","https://openalex.org/W2789911054","https://openalex.org/W2886444620","https://openalex.org/W2903356604","https://openalex.org/W2913452160","https://openalex.org/W2913570153","https://openalex.org/W2922259313","https://openalex.org/W2946633206","https://openalex.org/W2950447132","https://openalex.org/W2966757932","https://openalex.org/W2972594657","https://openalex.org/W2995022099","https://openalex.org/W2996769125","https://openalex.org/W3003426262","https://openalex.org/W3036293617","https://openalex.org/W3038028469","https://openalex.org/W3043061209","https://openalex.org/W3087391814","https://openalex.org/W3110209590","https://openalex.org/W3114131478","https://openalex.org/W3117599504","https://openalex.org/W3138597937","https://openalex.org/W3166632800","https://openalex.org/W4225926344","https://openalex.org/W4287977550","https://openalex.org/W4288578176","https://openalex.org/W4294106961","https://openalex.org/W4295306962","https://openalex.org/W4318619660"],"related_works":["https://openalex.org/W2082180526","https://openalex.org/W2997512100","https://openalex.org/W2331043530","https://openalex.org/W3048799479","https://openalex.org/W2961085424","https://openalex.org/W2393933887","https://openalex.org/W4306674287","https://openalex.org/W2779961139","https://openalex.org/W3006507989","https://openalex.org/W2487254971"],"abstract_inverted_index":{"Federated":[0,91],"Learning":[1],"(FL)":[2],"is":[3,14],"essential":[4],"for":[5,53],"building":[6],"global":[7,33],"models":[8],"across":[9],"distributed":[10],"environments.":[11],"However,":[12],"it":[13,75],"significantly":[15],"vulnerable":[16],"to":[17,68,76,82,100,144],"data":[18,45,108,116],"and":[19,29,97,109,127,140],"model":[20,55,71,110],"poisoning":[21,111],"attacks":[22,59,112],"that":[23,94,133],"can":[24,60],"critically":[25],"compromise":[26],"the":[27,32,65,70,142],"accuracy":[28],"reliability":[30],"of":[31],"model.":[34],"These":[35],"vulnerabilities":[36],"become":[37],"more":[38],"pronounced":[39],"in":[40],"heterogeneous":[41],"environments,":[42],"where":[43],"clients\u2019":[44],"distributions":[46],"vary":[47],"broadly,":[48],"creating":[49],"a":[50,88],"challenging":[51],"setting":[52],"maintaining":[54],"integrity.":[56],"Furthermore,":[57],"malicious":[58],"exploit":[61],"this":[62],"heterogeneity,":[63],"manipulating":[64],"learning":[66],"process":[67],"degrade":[69],"or":[72],"even":[73,113],"induce":[74],"learn":[77],"incorrect":[78],"patterns.":[79],"In":[80],"response":[81],"these":[83],"challenges,":[84],"we":[85],"introduce":[86],"RFCL,":[87],"novel":[89],"Robust":[90],"aggregation":[92,138],"method":[93],"leverages":[95],"CLustering":[96],"cosine":[98],"similarity":[99],"select":[101],"similar":[102],"cluster":[103],"models,":[104],"effectively":[105],"defending":[106],"against":[107,123,146],"amidst":[114],"high":[115],"heterogeneity.":[117],"Our":[118],"experiments":[119],"assess":[120],"RFCL\u2019s":[121],"performance":[122],"various":[124],"attacker":[125],"numbers":[126],"Non-IID":[128],"degrees.":[129],"The":[130],"findings":[131],"reveal":[132],"RFCL":[134],"outperforms":[135],"existing":[136],"robust":[137],"methods":[139],"demonstrates":[141],"capability":[143],"defend":[145],"multiple":[147],"attack":[148],"types.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
