{"id":"https://openalex.org/W4408860249","doi":"https://doi.org/10.1109/jiot.2025.3554694","title":"Distributed Data Grading with Privacy-Enhanced in Internet of Unmanned Agent: A Federated Hybrid Deep Learning Approach","display_name":"Distributed Data Grading with Privacy-Enhanced in Internet of Unmanned Agent: A Federated Hybrid Deep Learning Approach","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408860249","doi":"https://doi.org/10.1109/jiot.2025.3554694"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3554694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3554694","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5101575112","display_name":"Yunxiang Qiu","orcid":"https://orcid.org/0009-0001-4189-1415"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunxiang Qiu","raw_affiliation_strings":["School of Cyber Science and Engineering, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0001-4189-1415","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104297238","display_name":"Xinlong Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinlong Wu","raw_affiliation_strings":["Huaxin Consulting Design and Research Institute Co., Ltd, Hangzhou, Zhejiang Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huaxin Consulting Design and Research Institute Co., Ltd, Hangzhou, Zhejiang Province, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613870","display_name":"Ying Huang","orcid":"https://orcid.org/0000-0001-5677-8426"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Huang","raw_affiliation_strings":["Huaxin Consulting Design and Research Institute Co., Ltd, Hangzhou, Zhejiang Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huaxin Consulting Design and Research Institute Co., Ltd, Hangzhou, Zhejiang Province, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liangguo Chen","orcid":"https://orcid.org/0009-0009-4777-0049"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangguo Chen","raw_affiliation_strings":["School of Cyber Science and Engineering, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0009-4777-0049","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059891662","display_name":"Xingshu Chen","orcid":"https://orcid.org/0000-0002-8705-2617"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingshu Chen","raw_affiliation_strings":["School of Cyber Science and Engineering, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8705-2617","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5175,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92074694,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.996999979019165,"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":0.996999979019165,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9269999861717224,"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":0.8208495378494263},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5895296931266785},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5142795443534851},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.4147946834564209},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.39122286438941956},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3391125202178955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3277168571949005},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3163111209869385},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2565794289112091}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8208495378494263},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5895296931266785},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5142795443534851},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.4147946834564209},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.39122286438941956},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3391125202178955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3277168571949005},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3163111209869385},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2565794289112091},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3554694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3554694","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3534207142","display_name":null,"funder_award_id":"SCU2024D012","funder_id":"https://openalex.org/F4320322990","funder_display_name":"Sichuan University"},{"id":"https://openalex.org/G4230801548","display_name":null,"funder_award_id":"2020SCUNG129","funder_id":"https://openalex.org/F4320322990","funder_display_name":"Sichuan University"}],"funders":[{"id":"https://openalex.org/F4320322990","display_name":"Sichuan University","ror":"https://ror.org/011ashp19"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2296509296","https://openalex.org/W2759043405","https://openalex.org/W2898383045","https://openalex.org/W2908153278","https://openalex.org/W2993336308","https://openalex.org/W3012125688","https://openalex.org/W3021654819","https://openalex.org/W3116637734","https://openalex.org/W3134843574","https://openalex.org/W3165205057","https://openalex.org/W3170754543","https://openalex.org/W3177990660","https://openalex.org/W3187829000","https://openalex.org/W3203072121","https://openalex.org/W3209083247","https://openalex.org/W4205903734","https://openalex.org/W4220912180","https://openalex.org/W4281680764","https://openalex.org/W4285208255","https://openalex.org/W4288061885","https://openalex.org/W4296550588","https://openalex.org/W4309080560","https://openalex.org/W4316465710","https://openalex.org/W4317423310","https://openalex.org/W4319264752","https://openalex.org/W4319791589","https://openalex.org/W4319866187","https://openalex.org/W4383215229","https://openalex.org/W4388491925","https://openalex.org/W4389372409","https://openalex.org/W4391953287","https://openalex.org/W4393286900","https://openalex.org/W4396222747","https://openalex.org/W4396713940","https://openalex.org/W4396952009","https://openalex.org/W4399680845","https://openalex.org/W4400578856","https://openalex.org/W4401540992"],"related_works":["https://openalex.org/W2064165679","https://openalex.org/W1588461101","https://openalex.org/W3208525924","https://openalex.org/W2591833644","https://openalex.org/W2885058781","https://openalex.org/W3127248583","https://openalex.org/W1552490082","https://openalex.org/W4236439135","https://openalex.org/W2189583758","https://openalex.org/W3009904625"],"abstract_inverted_index":{"The":[0,145],"Internet":[1],"of":[2,98,106,140,190],"unmanned":[3,16,59],"agents":[4],"(IUAs)":[5],"has":[6],"emerged":[7],"as":[8],"a":[9,71,75,90,155],"transformative":[10],"technology,":[11],"driven":[12],"by":[13],"advancements":[14],"in":[15,25,38,47,129,172,188],"devices":[17,60],"and":[18,28,43,51,118,138,154,158,166,175,178,183],"5G":[19],"communications,":[20],"leading":[21],"to":[22],"significant":[23,36],"progress":[24],"autonomous":[26],"systems":[27],"distributed":[29,44,53,77,107],"networks.":[30],"Despite":[31],"these":[32,66],"advancements,":[33],"IUA":[34,62,85],"faces":[35],"challenges":[37],"data":[39,50,78,101,108,142,171],"security,":[40],"privacy":[41,97],"preservation,":[42],"learning,":[45],"particularly":[46],"grading":[48,79,109,143],"sensitive":[49,100],"efficient":[52],"grade":[54,168],"model":[55],"training":[56],"across":[57],"diverse":[58,130],"within":[61],"context.":[63,86],"To":[64],"address":[65],"issues,":[67],"this":[68],"article":[69],"proposes":[70],"novel":[72],"scheme,":[73],"FedHDL-IUA,":[74],"privacy-enhanced":[76],"scheme":[80,88,123],"designed":[81],"specifically":[82],"for":[83],"the":[84,96,104,122,136,141,159,169],"This":[87],"leverages":[89],"federated":[91],"learning":[92,186],"(FL)":[93],"framework,":[94],"ensuring":[95],"local":[99],"while":[102],"optimizing":[103],"performance":[105],"models.":[110],"By":[111],"combining":[112],"bidirectional":[113],"long":[114],"short-term":[115],"memory":[116],"(BiLSTM)":[117],"residual":[119],"networks":[120],"(ResNets),":[121],"can":[124,164],"effectively":[125,167],"capture":[126],"feature":[127],"dependencies":[128],"network":[131],"traffic":[132,170],"data,":[133],"thereby":[134],"enhancing":[135],"accuracy":[137],"efficiency":[139],"model.":[144],"simulation":[146],"experiments":[147],"are":[148],"conducted":[149],"using":[150],"two":[151],"open-source":[152],"datasets":[153],"private":[156],"dataset,":[157],"results":[160],"show":[161],"that":[162],"FedHDL-IUA":[163],"efficiently":[165],"both":[173],"centralized":[174],"FL":[176],"modes":[177],"outperforms":[179],"other":[180],"existing":[181],"schemes":[182],"traditional":[184],"deep":[185],"models":[187],"terms":[189],"performance.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
