{"id":"https://openalex.org/W4413277166","doi":"https://doi.org/10.1109/jiot.2025.3599847","title":"Knowledge-Sharing Personalized Federated Subgraph Learning for Internet of Unmanned Agents","display_name":"Knowledge-Sharing Personalized Federated Subgraph Learning for Internet of Unmanned Agents","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413277166","doi":"https://doi.org/10.1109/jiot.2025.3599847"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3599847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3599847","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/A5018498023","display_name":"Ta\u2010Te Lu","orcid":"https://orcid.org/0000-0001-8097-4363"},"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":"Tianying Lu","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"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, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-9960-5382","affiliations":[{"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, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6349-068X","affiliations":[{"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, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0768-7859","affiliations":[{"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":0.7655,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73722132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"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/T10057","display_name":"Face and Expression Recognition","score":0.9606999754905701,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9606999754905701,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9139000177383423,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9126999974250793,"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":0.7891511917114258},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.6407616138458252},{"id":"https://openalex.org/keywords/knowledge-sharing","display_name":"Knowledge sharing","score":0.4231691062450409},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3848929703235626},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3534312844276428},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.29099464416503906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7891511917114258},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.6407616138458252},{"id":"https://openalex.org/C2776604539","wikidata":"https://www.wikidata.org/wiki/Q6423395","display_name":"Knowledge sharing","level":2,"score":0.4231691062450409},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3848929703235626},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3534312844276428},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.29099464416503906}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3599847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3599847","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2102907934","https://openalex.org/W2131681506","https://openalex.org/W2964015378","https://openalex.org/W3091635927","https://openalex.org/W3134210100","https://openalex.org/W3166619165","https://openalex.org/W3204468048","https://openalex.org/W4285606214","https://openalex.org/W4323914306","https://openalex.org/W4382318655","https://openalex.org/W4389098833","https://openalex.org/W4389722515","https://openalex.org/W4391697032","https://openalex.org/W4392729276","https://openalex.org/W4401508964","https://openalex.org/W4401857082","https://openalex.org/W4403095032","https://openalex.org/W4409363909"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"By":[0],"integrating":[1],"subgraph":[2,8,14,87,155],"learning":[3,9,12,88,164],"with":[4],"federated":[5,7,86],"learning,":[6],"realizes":[10],"collaborative":[11],"of":[13,34,44,55,66,85,124,133,154,186,209],"information":[15],"among":[16],"distributed":[17],"Unmanned":[18,35],"Agents":[19,36],"(UAs)":[20],"while":[21,61],"protecting":[22],"data":[23,46,51,69,135],"privacy,":[24],"offering":[25],"a":[26,101,112,140],"promising":[27],"solution":[28],"for":[29,109,146],"graph":[30,50,68,179],"modeling":[31],"in":[32,203,213],"Internet":[33],"(IUA).":[37],"However,":[38],"due":[39],"to":[40,78,129,149,167],"the":[41,53,62,90,121,131,151,184,187,207,210],"various":[42],"manners":[43],"collecting":[45],"on":[47,70,120,136],"different":[48,204],"UAs,":[49],"exhibits":[52],"features":[54,65],"Non-Independent":[56],"and":[57,64,81,126],"Identically":[58],"Distributed":[59],"(Non-IID),":[60],"structures":[63],"local":[67,173],"UAs":[71,125],"are":[72],"quite":[73],"diverse.":[74],"These":[75],"factors":[76],"lead":[77],"convergence":[79],"difficulties":[80],"insufficient":[82],"generalization":[83],"ability":[84],"during":[89],"training":[91],"process.":[92],"To":[93],"address":[94],"these":[95],"important":[96],"challenges,":[97],"we":[98],"propose":[99],"PFedSL,":[100],"novel":[102],"knowledge-sharing":[103],"Personalized":[104],"Federated":[105],"Subgraph":[106],"Learning":[107],"framework":[108],"IUA.":[110],"First,":[111],"new":[113],"personalized":[114,161],"model":[115,137,147],"aggregation":[116],"is":[117,144,165,215],"performed":[118],"based":[119],"confidence":[122],"score":[123],"their":[127],"similarity":[128],"reduce":[130],"interference":[132],"Non-IID":[134],"performance.":[138],"Next,":[139],"parameter":[141],"selective":[142],"activation":[143],"introduced":[145],"updating":[148],"handle":[150],"heterogeneity":[152],"issue":[153],"structural":[156],"features.":[157],"Finally,":[158],"an":[159],"original":[160],"single-view":[162],"contrastive":[163],"designed":[166],"optimize":[168],"node":[169,197],"embedding,":[170],"thereby":[171],"enhancing":[172],"representation":[174],"consistency.":[175],"Using":[176],"real-world":[177],"benchmark":[178],"datasets,":[180],"extensive":[181],"experiments":[182],"demonstrate":[183],"superiority":[185],"proposed":[188],"PFedSL.":[189],"The":[190],"results":[191],"show":[192],"that":[193],"PFedSL":[194,214],"achieves":[195],"higher":[196],"classification":[198],"accuracy":[199],"than":[200],"state-of-the-art":[201],"methods":[202],"scenarios.":[205],"Meanwhile,":[206],"effectiveness":[208],"core":[211],"components":[212],"validated":[216],"via":[217],"ablation":[218],"studies.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
