{"id":"https://openalex.org/W4414360481","doi":"https://doi.org/10.24963/ijcai.2025/379","title":"FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients","display_name":"FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414360481","doi":"https://doi.org/10.24963/ijcai.2025/379"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/379","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/379","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5071576870","display_name":"Xiaoding Wang","orcid":"https://orcid.org/0000-0002-0494-3538"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoding Wang","raw_affiliation_strings":["College of Computer and Cyber Security, Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103675023","display_name":"Bin Ye","orcid":"https://orcid.org/0009-0006-0725-0055"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Ye","raw_affiliation_strings":["College of Computer and Cyber Security, Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030884513","display_name":"Li Xu","orcid":"https://orcid.org/0000-0002-8972-3373"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Xu","raw_affiliation_strings":["College of Computer and Cyber Security, Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101849840","display_name":"Lizhao Wu","orcid":"https://orcid.org/0009-0009-5139-2896"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhao Wu","raw_affiliation_strings":["College of Computer and Cyber Security, Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103047340","display_name":"Sun\u2010Yuan Hsieh","orcid":"https://orcid.org/0000-0003-4746-3179"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sun-Yuan Hsieh","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101721006","display_name":"Jie Wu","orcid":"https://orcid.org/0000-0002-8648-141X"},"institutions":[{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]},{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jie Wu","raw_affiliation_strings":["China Telecom Cloud Computing Research Institute","Department of Computer and Information Sciences, Temple University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Telecom Cloud Computing Research Institute","institution_ids":["https://openalex.org/I4210144487"]},{"raw_affiliation_string":"Department of Computer and Information Sciences, Temple University","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055176283","display_name":"Limei Lin","orcid":"https://orcid.org/0000-0001-7227-6258"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Limei Lin","raw_affiliation_strings":["College of Computer and Cyber Security, Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University","institution_ids":["https://openalex.org/I111753288"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3407","last_page":"3416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13970","display_name":"Pharmacy and Medical Practices","score":0.8744999766349792,"subfield":{"id":"https://openalex.org/subfields/3004","display_name":"Pharmacology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T13970","display_name":"Pharmacy and Medical Practices","score":0.8744999766349792,"subfield":{"id":"https://openalex.org/subfields/3004","display_name":"Pharmacology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11943","display_name":"Pharmacovigilance and Adverse Drug Reactions","score":0.7975999712944031,"subfield":{"id":"https://openalex.org/subfields/3005","display_name":"Toxicology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11635","display_name":"Poisoning and overdose treatments","score":0.7416999936103821,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency Medicine"},"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/asynchronous-communication","display_name":"Asynchronous communication","score":0.8190000057220459},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.8134999871253967},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6772000193595886},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.49559998512268066},{"id":"https://openalex.org/keywords/compromise","display_name":"Compromise","score":0.4894999861717224},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.42260000109672546},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.34790000319480896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.843500018119812},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.8190000057220459},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.8134999871253967},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6772000193595886},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.49559998512268066},{"id":"https://openalex.org/C46355384","wikidata":"https://www.wikidata.org/wiki/Q726686","display_name":"Compromise","level":2,"score":0.4894999861717224},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.42260000109672546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3910999894142151},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38029998540878296},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.37209999561309814},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.34790000319480896},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34769999980926514},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3393000066280365},{"id":"https://openalex.org/C2776289891","wikidata":"https://www.wikidata.org/wiki/Q1931511","display_name":"Neglect","level":2,"score":0.3296999931335449},{"id":"https://openalex.org/C2777072894","wikidata":"https://www.wikidata.org/wiki/Q4812204","display_name":"Asynchronous learning","level":5,"score":0.32269999384880066},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/379","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/379","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Federated":[0],"learning":[1,104,209],"is":[2],"vulnerable":[3],"to":[4,69,121,166],"model":[5,15,19,59,140,174],"poisoning":[6,182],"attacks":[7,183],"in":[8,86,125,204],"which":[9,77],"malicious":[10,55,159],"participants":[11],"compromise":[12],"the":[13,18,43,57,71,170,173,178,188],"global":[14,58],"by":[16,46,175,184,191,195],"altering":[17],"updates.":[20],"Current":[21,74],"defense":[22],"strategies":[23,68],"are":[24,78,84],"divided":[25],"into":[26],"three":[27],"types:":[28],"aggregation-based":[29],"methods,":[30,33,76,168],"validation":[31],"dataset-based":[32],"and":[34,49,91,110,132,153,158,186,202,206],"update":[35,82,134,138],"distance-based":[36],"methods.":[37],"However,":[38],"these":[39,96,196],"techniques":[40],"often":[41],"neglect":[42],"challenges":[44],"posed":[45],"device":[47,89,111],"heterogeneity":[48,90],"asynchronous":[50,92,108],"communication.":[51,93],"Even":[52],"upon":[53],"identifying":[54],"clients,":[56],"may":[60],"already":[61],"be":[62],"significantly":[63],"damaged,":[64],"requiring":[65],"effective":[66],"recovery":[67,75,189],"reduce":[70],"attacker's":[72],"impact.":[73],"based":[79],"on":[80],"historical":[81,118],"records,":[83],"limited":[85],"environments":[87],"with":[88,137],"To":[94],"address":[95],"problems,":[97],"we":[98],"introduce":[99],"FedHAN,":[100,164],"a":[101],"reliable":[102],"federated":[103,208],"algorithm":[105],"designed":[106],"for":[107],"communication":[109],"heterogeneity.":[112],"FedHAN":[113,146,198],"customizes":[114],"sparse":[115,126],"models,":[116],"uses":[117],"client":[119],"updates":[120],"impute":[122],"missing":[123],"parameters":[124],"updates,":[127],"dynamically":[128],"assigns":[129],"adaptive":[130],"weights,":[131],"combines":[133],"deviation":[135],"detection":[136,179],"prediction-based":[139],"recovery.":[141],"Theoretical":[142],"analysis":[143],"indicates":[144],"that":[145,163],"achieves":[147],"favorable":[148],"convergence":[149],"despite":[150],"unbounded":[151],"staleness":[152],"effectively":[154],"discriminates":[155],"between":[156],"benign":[157],"clients.":[160],"Experiments":[161],"reveal":[162],"compared":[165],"leading":[167],"increases":[169],"accuracy":[171,180,190],"of":[172,181],"7.86%,":[176],"improves":[177],"12%,":[185],"enhances":[187],"7.26%.":[192],"As":[193],"evidenced":[194],"results,":[197],"exhibits":[199],"enhanced":[200],"reliability":[201],"robustness":[203],"intricate":[205],"dynamic":[207],"scenarios.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
