{"id":"https://openalex.org/W4412081708","doi":"https://doi.org/10.1109/tnse.2025.3586778","title":"FedVaccine: Robust Federated Learning in Noisy and Non-IID Wireless Network Environments","display_name":"FedVaccine: Robust Federated Learning in Noisy and Non-IID Wireless Network Environments","publication_year":2025,"publication_date":"2025-07-07","ids":{"openalex":"https://openalex.org/W4412081708","doi":"https://doi.org/10.1109/tnse.2025.3586778"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2025.3586778","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3586778","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tnse.2025.3586778","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035093564","display_name":"Hunmin Lee","orcid":"https://orcid.org/0000-0001-7595-9791"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hunmin Lee","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038955440","display_name":"Hyejeong Seong","orcid":"https://orcid.org/0000-0002-9877-296X"},"institutions":[{"id":"https://openalex.org/I199143407","display_name":"Sunchon National University","ror":"https://ror.org/043jqrs76","country_code":"KR","type":"education","lineage":["https://openalex.org/I199143407"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hongju Seong","raw_affiliation_strings":["Department of Computer Education, Sunchon National University, Suncheon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Education, Sunchon National University, Suncheon, Republic of Korea","institution_ids":["https://openalex.org/I199143407"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115559606","display_name":"Jihun Bae","orcid":"https://orcid.org/0009-0008-7776-8284"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jihun Bae","raw_affiliation_strings":["Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059709789","display_name":"Wonbin Kim","orcid":"https://orcid.org/0009-0005-1237-5330"},"institutions":[{"id":"https://openalex.org/I157264075","display_name":"Sangmyung University","ror":"https://ror.org/01x4whx42","country_code":"KR","type":"education","lineage":["https://openalex.org/I157264075"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wonbin Kim","raw_affiliation_strings":["Department of Artificial Intelligence and Data Engineering, Sangmyung University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Data Engineering, Sangmyung University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I157264075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080554401","display_name":"Hyeokchan Kwon","orcid":"https://orcid.org/0000-0002-4120-5999"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeokchan Kwon","raw_affiliation_strings":["Cyber Security Research Division, Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Cyber Security Research Division, Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395864","display_name":"Youngsoo Kim","orcid":"https://orcid.org/0000-0002-1494-9503"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngsoo Kim","raw_affiliation_strings":["Laboratory of Artificial Intelligence Computing Research, Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Laboratory of Artificial Intelligence Computing Research, Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017173347","display_name":"Daehee Seo","orcid":"https://orcid.org/0000-0002-5069-398X"},"institutions":[{"id":"https://openalex.org/I157264075","display_name":"Sangmyung University","ror":"https://ror.org/01x4whx42","country_code":"KR","type":"education","lineage":["https://openalex.org/I157264075"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daehee Seo","raw_affiliation_strings":["Department of Artificial Intelligence and Data Engineering, Sangmyung University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Data Engineering, Sangmyung University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I157264075"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5035093564"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":14.5517,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.98653591,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"701","last_page":"716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9894999861717224,"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":0.9894999861717224,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9312999844551086,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7054858803749084},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.5408312678337097},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5214959383010864},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5128986835479736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3388161361217499},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.33771783113479614},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19558373093605042}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7054858803749084},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5408312678337097},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5214959383010864},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5128986835479736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3388161361217499},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33771783113479614},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19558373093605042}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2025.3586778","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3586778","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":{"id":"doi:10.1109/tnse.2025.3586778","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3586778","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1667950888","https://openalex.org/W1987971958","https://openalex.org/W2018585293","https://openalex.org/W2032783947","https://openalex.org/W2072550346","https://openalex.org/W2261972954","https://openalex.org/W2272847350","https://openalex.org/W2616108305","https://openalex.org/W2753161394","https://openalex.org/W2795250928","https://openalex.org/W2922953676","https://openalex.org/W2981587265","https://openalex.org/W2986739745","https://openalex.org/W3017055420","https://openalex.org/W3022121429","https://openalex.org/W3023365694","https://openalex.org/W3036981520","https://openalex.org/W3048859808","https://openalex.org/W3101503122","https://openalex.org/W3102626224","https://openalex.org/W3123459983","https://openalex.org/W3130042795","https://openalex.org/W3135524540","https://openalex.org/W3136671356","https://openalex.org/W3155899199","https://openalex.org/W3158727039","https://openalex.org/W3163280978","https://openalex.org/W3169313989","https://openalex.org/W3184065841","https://openalex.org/W3196371845","https://openalex.org/W3196669126","https://openalex.org/W3203266007","https://openalex.org/W3207406191","https://openalex.org/W3211376158","https://openalex.org/W3214462705","https://openalex.org/W4206731046","https://openalex.org/W4226327168","https://openalex.org/W4283796083","https://openalex.org/W4285189145","https://openalex.org/W4286255690","https://openalex.org/W4293143713","https://openalex.org/W4293195393","https://openalex.org/W4312424218","https://openalex.org/W4313146295","https://openalex.org/W4367333175","https://openalex.org/W4390098499","https://openalex.org/W4399282644","https://openalex.org/W4401725795","https://openalex.org/W4406611551"],"related_works":["https://openalex.org/W2111375262","https://openalex.org/W2317728013","https://openalex.org/W4252076617","https://openalex.org/W1991205173","https://openalex.org/W2109048960","https://openalex.org/W2741481635","https://openalex.org/W2338537463","https://openalex.org/W2183644707","https://openalex.org/W2038165453","https://openalex.org/W1885824365"],"abstract_inverted_index":{"Federated":[0,195],"Learning":[1,197],"(FL)-based":[2],"modulation":[3,26,109,236],"decoding":[4,15,27,110,185],"enables":[5],"collaborative":[6],"learning":[7,241],"across":[8,125,142,187,259],"distributed":[9],"Artificial":[10],"Intelligence":[11],"(AI)-powered":[12],"modulational":[13],"signal":[14],"models":[16,238],"in":[17,55,75,87,100,243,255],"large-scale":[18,126],"wireless":[19,260],"communication":[20],"networks.":[21,261],"Despite":[22],"significant":[23],"advancements,":[24],"FL-based":[25,108,235],"faces":[28],"two":[29],"primary":[30],"challenges:":[31],"(1)":[32],"<italic":[33,71],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[34,72],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Vulnerability":[35],"to":[36,48,92,123,166,174,199,224],"noisy":[37],"environments</i>":[38,82],"-":[39,83],"Current":[40],"studies":[41,111],"often":[42,53],"prioritize":[43],"high-quality":[44,154],"datasets":[45,155],"during":[46,215],"training":[47],"ensure":[49,225],"model":[50,140,173],"performance,":[51],"which":[52,119],"results":[54,229],"overfitting":[56],"since":[57],"real-world":[58],"signals":[59],"involve":[60],"a":[61,88,95,115,136,161,167,194,218],"wide":[62],"range":[63],"of":[64,103,151,212],"noise":[65,144,163,178,189],"levels":[66],"from":[67],"various":[68],"sources.":[69],"(2)":[70],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Model":[73],"divergence":[74,93],"non-Independent":[76],"and":[77,146,182,208,239,246],"Identically":[78],"Distributed":[79],"(":[80],"non-IID)":[81],"The":[84],"aggregation":[85],"step":[86],"conventional":[89],"FL":[90],"leads":[91],"on":[94,114,153],"large":[96],"federated":[97],"scale,":[98],"resulting":[99],"the":[101,172,202,210],"loss":[102,211],"local-specific":[104],"knowledge.":[105],"Moreover,":[106],"existing":[107,234],"typically":[112],"focus":[113],"single":[116],"non-IID":[117,147,247],"issue,":[118],"limits":[120],"their":[121],"ability":[122],"generalize":[124],"heterogeneous":[127],"settings.":[128],"To":[129],"address":[130],"these":[131],"challenges,":[132],"we":[133],"propose":[134],"FedVaccine,":[135],"framework":[137],"that":[138,156,231],"enhances":[139],"generalization":[141],"diverse":[143],"conditions":[145],"data":[148],"environments.":[149],"Instead":[150],"relying":[152],"risk":[157],"overfitting,":[158],"FedVaccine":[159,192,232],"employs":[160],"harmonic":[162],"resilience":[164],"approach\u2014akin":[165],"vaccination":[168],"effect\u2014that":[169],"deliberately":[170],"exposes":[171],"controlled":[175],"noise,":[176],"identifying":[177],"tolerance,":[179],"regularizing":[180],"training,":[181],"ensuring":[183,205],"robust":[184],"performance":[186],"varying":[188],"levels.":[190],"Additionally,":[191],"incorporates":[193],"Split":[196],"approach":[198],"cumulatively":[200],"update":[201],"global":[203],"model,":[204],"adaptive":[206],"recalibration":[207],"mitigating":[209],"local":[213],"knowledge":[214],"aggregation.":[216],"Furthermore,":[217],"localized":[219],"support":[220],"set":[221],"is":[222],"used":[223],"effective":[226],"personalization.":[227],"Experimental":[228],"demonstrate":[230],"outperforms":[233],"classification":[237],"other":[240],"paradigms":[242],"both":[244],"IID":[245],"scenarios":[248,258],"using":[249],"public":[250],"datasets,":[251],"showcasing":[252],"its":[253],"effectiveness":[254],"practical":[256],"deployment":[257]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}