{"id":"https://openalex.org/W4414798946","doi":"https://doi.org/10.1109/tce.2025.3617540","title":"Decentralized Federated Learning for Adversarial Anomaly Detection in Consumer-Grade UAV-Assisted MEC Systems","display_name":"Decentralized Federated Learning for Adversarial Anomaly Detection in Consumer-Grade UAV-Assisted MEC Systems","publication_year":2025,"publication_date":"2025-10-03","ids":{"openalex":"https://openalex.org/W4414798946","doi":"https://doi.org/10.1109/tce.2025.3617540"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2025.3617540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3617540","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","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":null,"display_name":"Longxiang Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longxiang Xue","raw_affiliation_strings":["College of Computer and Data Science and Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science and Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068046629","display_name":"Luying Zhong","orcid":"https://orcid.org/0009-0007-9960-5382"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luying Zhong","raw_affiliation_strings":["College of Computer and Data Science and Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science and Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114973640","display_name":"Junjie Zhang","orcid":"https://orcid.org/0009-0002-1140-8688"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Zhang","raw_affiliation_strings":["College of Computer and Data Science and Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-1140-8688","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science and Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004385468","display_name":"Zheyi Chen","orcid":"https://orcid.org/0000-0002-6349-068X"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheyi Chen","raw_affiliation_strings":["College of Computer and Data Science and Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6349-068X","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science and Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036420194","display_name":"Hongju Cheng","orcid":"https://orcid.org/0000-0002-0768-7859"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongju Cheng","raw_affiliation_strings":["College of Computer and Data Science and Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0768-7859","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science and Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100679241","display_name":"Jie Li","orcid":"https://orcid.org/0000-0002-4974-6116"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4974-6116","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4565,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.90714583,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"71","issue":"4","first_page":"10797","last_page":"10811"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9939000010490417,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9898999929428101,"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/testbed","display_name":"Testbed","score":0.6725999712944031},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.659600019454956},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6373999714851379},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5404000282287598},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.482699990272522},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.41130000352859497},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.38359999656677246},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.36970001459121704},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.3695000112056732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7649999856948853},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.6725999712944031},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.659600019454956},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6373999714851379},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5404000282287598},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.482699990272522},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.46880000829696655},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.41130000352859497},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.38359999656677246},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.36970001459121704},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.3695000112056732},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3668000102043152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36079999804496765},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.33550000190734863},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.3343999981880188},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.33410000801086426},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.2946000099182129},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28299999237060547},{"id":"https://openalex.org/C65856478","wikidata":"https://www.wikidata.org/wiki/Q3991682","display_name":"Attack model","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C110698143","wikidata":"https://www.wikidata.org/wiki/Q651389","display_name":"Patrolling","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26980000734329224},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.2685999870300293},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.25459998846054077}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2025.3617540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3617540","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4951725886","display_name":null,"funder_award_id":"62202103","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":39,"referenced_works":["https://openalex.org/W3002757309","https://openalex.org/W3014401415","https://openalex.org/W3044515030","https://openalex.org/W3048295601","https://openalex.org/W3091440769","https://openalex.org/W3096157131","https://openalex.org/W3110962653","https://openalex.org/W3130294722","https://openalex.org/W3134226201","https://openalex.org/W3157680283","https://openalex.org/W3175954176","https://openalex.org/W3185359994","https://openalex.org/W3202150208","https://openalex.org/W3205337393","https://openalex.org/W3213413164","https://openalex.org/W4205148546","https://openalex.org/W4226047321","https://openalex.org/W4285234583","https://openalex.org/W4285492508","https://openalex.org/W4292387502","https://openalex.org/W4312768957","https://openalex.org/W4313031434","https://openalex.org/W4367047139","https://openalex.org/W4382239858","https://openalex.org/W4382463479","https://openalex.org/W4386245173","https://openalex.org/W4388561663","https://openalex.org/W4388579599","https://openalex.org/W4391020370","https://openalex.org/W4391424598","https://openalex.org/W4392975687","https://openalex.org/W4393186061","https://openalex.org/W4398226355","https://openalex.org/W4402041384","https://openalex.org/W4402157906","https://openalex.org/W4402978271","https://openalex.org/W4403095032","https://openalex.org/W4404520176","https://openalex.org/W7084138284"],"related_works":[],"abstract_inverted_index":{"Anomaly":[0,82],"detection":[1,174,225],"is":[2,103],"a":[3,76,131,147,172],"key":[4],"technique":[5],"to":[6,30,59,150,220,229],"ensure":[7],"the":[8,32,92,109,113,122,139,143,152,155,159,164,186,190,195,204,207,210,221],"security":[9],"of":[10,37,125,154,166,206],"consumer-grade":[11,85,217],"Unmanned":[12],"Aerial":[13],"Vehicle":[14],"(UAV)":[15],"assisted":[16],"Mobile":[17],"Edge":[18],"Computing":[19],"(MEC)":[20],"systems.":[21,88],"While":[22],"integrating":[23],"emerging":[24],"Decentralized":[25],"Federated":[26],"Learning":[27],"(DFL)":[28],"tends":[29],"enhance":[31],"efficiency":[33,234],"and":[34,50,97,108,178,198,212,232,242],"reduce":[35],"overhead":[36],"anomaly":[38],"detection,":[39],"most":[40],"existing":[41],"DFL":[42,78],"frameworks":[43],"still":[44],"face":[45],"huge":[46],"challenges":[47],"in":[48,84,158],"system":[49,67,213],"statistical":[51,211],"heterogeneity.":[52],"This":[53,136],"vulnerability":[54],"makes":[55],"them":[56],"highly":[57],"susceptible":[58],"adversarial":[60,180,236],"attacks":[61],"during":[62],"global":[63],"communication,":[64],"significantly":[65],"undermining":[66],"robustness.":[68],"To":[69],"address":[70],"these":[71],"important":[72],"challenges,":[73],"we":[74,90,129,170,183],"proposeDFL2AD,":[75],"novel":[77],"framework":[79],"for":[80,176],"Adversarial":[81],"Detection":[83],"UAV-assisted":[86],"MEC":[87],"First,":[89],"split":[91],"local":[93,140],"model":[94,102,106,116,141,149,157],"into":[95],"top-level":[96],"bottom-level":[98,101],"components.":[99],"The":[100],"compressed":[104,114],"via":[105],"compression,":[107],"UAVs":[110],"only":[111],"exchange":[112],"bottom":[115],"with":[117],"their":[118],"neighbors,":[119],"thereby":[120,162],"reducing":[121],"communication":[123],"overload":[124],"neighboring":[126],"UAVs.":[127,218],"Next,":[128],"design":[130],"new":[132],"self-knowledge":[133],"distillation":[134],"mechanism.":[135],"mechanism":[137],"uses":[138],"from":[142],"previous":[144],"round":[145],"as":[146],"teacher":[148],"guide":[151],"training":[153,233],"post-aggregation":[156],"current":[160],"round,":[161],"preventing":[163],"forgetting":[165],"prior":[167],"knowledge.":[168],"Finally,":[169],"develop":[171],"residual":[173],"strategy":[175],"identifying":[177],"replacing":[179],"models.":[181],"Notably,":[182],"theoretically":[184],"prove":[185],"stable":[187],"convergence":[188],"ofDFL2ADduring":[189],"aggregation":[191],"process.":[192],"Based":[193],"on":[194],"real-world":[196],"testbed":[197],"traffic":[199],"datasets,":[200],"extensive":[201],"experiments":[202],"validate":[203],"effectiveness":[205],"proposedDFL2ADin":[208],"solving":[209],"heterogeneity":[214],"issues":[215],"among":[216],"Compared":[219],"state-of-the-art":[222],"methods,DFL2ADachieves":[223],"higher":[224],"accuracy":[226],"(by":[227],"up":[228],"around":[230],"20%)":[231],"under":[235],"attacks,":[237],"while":[238],"exhibiting":[239],"better":[240],"scalability":[241],"convergence.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}