{"id":"https://openalex.org/W4413785756","doi":"https://doi.org/10.1109/jiot.2025.3602961","title":"Federated Capsule Graph Neural Networks With Enhanced Privacy Protection","display_name":"Federated Capsule Graph Neural Networks With Enhanced Privacy Protection","publication_year":2025,"publication_date":"2025-08-28","ids":{"openalex":"https://openalex.org/W4413785756","doi":"https://doi.org/10.1109/jiot.2025.3602961"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3602961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3602961","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/A5115595017","display_name":"Wennan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wennan Wang","raw_affiliation_strings":["Guangdong University of Science and Technology, Dongguan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Science and Technology, Dongguan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027581588","display_name":"Zijie Pan","orcid":"https://orcid.org/0000-0002-7644-1334"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Zijie Pan","raw_affiliation_strings":["Faculty of Data Science, City University of Macau, Macau, China","University of Science and Technology, Dongguan, China"],"raw_orcid":"https://orcid.org/0000-0002-7644-1334","affiliations":[{"raw_affiliation_string":"Faculty of Data Science, City University of Macau, Macau, China","institution_ids":["https://openalex.org/I6469544"]},{"raw_affiliation_string":"University of Science and Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056132441","display_name":"Jinliang Wang","orcid":"https://orcid.org/0000-0002-9646-2765"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinliang Wang","raw_affiliation_strings":["University of Science and Technology, Dongguan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040147760","display_name":"Tuli Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tuli Chen","raw_affiliation_strings":["University of Science and Technology, Dongguan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113431077","display_name":"Fu Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Fu Luo","raw_affiliation_strings":["University of Science and Technology, Dongguan, China","Faculty of Data Science, City University of Macau, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]},{"raw_affiliation_string":"Faculty of Data Science, City University of Macau, Macau, China","institution_ids":["https://openalex.org/I6469544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455413","display_name":"Yajie Wang","orcid":"https://orcid.org/0000-0002-0962-4464"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajie Wang","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0962-4464","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100380072","display_name":"Chuan Zhang","orcid":"https://orcid.org/0000-0001-7684-8540"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Zhang","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7684-8540","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88276716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"12","issue":"22","first_page":"47028","last_page":"47041"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9722999930381775,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9722999930381775,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9645000100135803,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9427000284194946,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7909207344055176},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.7044431567192078},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5161358118057251},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44371694326400757},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41381579637527466},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4011209011077881},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.39966291189193726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3149101436138153},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.27568602561950684}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7909207344055176},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.7044431567192078},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5161358118057251},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44371694326400757},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41381579637527466},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4011209011077881},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.39966291189193726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3149101436138153},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27568602561950684}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3602961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3602961","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":31,"referenced_works":["https://openalex.org/W2051267297","https://openalex.org/W2074006684","https://openalex.org/W2099438806","https://openalex.org/W2162630660","https://openalex.org/W2168190036","https://openalex.org/W2473418344","https://openalex.org/W2535690855","https://openalex.org/W2767079719","https://openalex.org/W2781091734","https://openalex.org/W2895526696","https://openalex.org/W2907492528","https://openalex.org/W2954228910","https://openalex.org/W2963384288","https://openalex.org/W2963720850","https://openalex.org/W2997927829","https://openalex.org/W3015636663","https://openalex.org/W3086809868","https://openalex.org/W3088207597","https://openalex.org/W3097566283","https://openalex.org/W3123459983","https://openalex.org/W3136022984","https://openalex.org/W3147140699","https://openalex.org/W3155912831","https://openalex.org/W3180095048","https://openalex.org/W3180608480","https://openalex.org/W3186928351","https://openalex.org/W3196371845","https://openalex.org/W3212135426","https://openalex.org/W4220855160","https://openalex.org/W4229029907","https://openalex.org/W4328053963"],"related_works":["https://openalex.org/W3022534164","https://openalex.org/W4396832952","https://openalex.org/W3046095319","https://openalex.org/W3197497514","https://openalex.org/W1591172238","https://openalex.org/W2111194702","https://openalex.org/W2972172135","https://openalex.org/W1787552957","https://openalex.org/W4300474583","https://openalex.org/W4225340788"],"abstract_inverted_index":{"Federated":[0,84],"learning":[1,51,240],"(FL)":[2],"has":[3],"gained":[4],"significant":[5],"traction":[6],"as":[7,35,232],"a":[8,90,109,233],"paradigm":[9],"for":[10,204,238],"decentralized":[11,239],"learning,":[12],"enabling":[13,125],"multiple":[14],"clients":[15],"to":[16,28,49,59,69,115,127,184],"collaboratively":[17],"train":[18],"models":[19],"without":[20],"sharing":[21],"their":[22],"local":[23],"data.":[24,243],"However,":[25],"applying":[26],"FL":[27,186,206],"graph-structured":[29,242],"data":[30,38,65],"introduces":[31],"unique":[32],"challenges,":[33],"such":[34],"handling":[36],"non-IID":[37,223],"and":[39,66,75,119,143,171,173,181,195,235],"preserving":[40],"the":[41,95,103,135,228],"structural":[42],"dependencies":[43],"between":[44],"nodes.":[45],"Additionally,":[46],"existing":[47,185],"approaches":[48],"federated":[50,110,130],"with":[52,102],"Graph":[53,86],"Neural":[54,87],"Networks":[55,88],"(GNNs)":[56],"often":[57],"struggle":[58],"capture":[60],"complex":[61],"relationships":[62,121],"within":[63,122],"graph":[64,123,165],"are":[67],"vulnerable":[68],"privacy":[70,136,142],"breaches,":[71],"including":[72,167],"membership":[73],"inference":[74],"model":[76,117,157],"inversion":[77],"attacks.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82],"propose":[83],"Capsule":[85],"(FCGNN),":[89],"novel":[91],"architecture":[92],"that":[93,148,175,191],"integrates":[94],"dynamic":[96],"routing":[97],"capabilities":[98],"of":[99,106,137,215,230],"capsule":[100],"networks":[101],"structure-preserving":[104],"power":[105],"GNNs":[107],"in":[108,222],"setting.":[111],"FCGNN":[112,138,161,192,209,231],"is":[113,210],"designed":[114],"effectively":[116],"hierarchical":[118],"part-whole":[120],"data,":[124],"it":[126,176,201],"outperform":[128],"traditional":[129],"GNN":[131],"approaches.":[132],"We":[133,159],"enhance":[134],"by":[139],"incorporating":[140],"differential":[141],"secure":[144],"aggregation":[145],"techniques,":[146],"ensuring":[147],"individual":[149],"client":[150],"updates":[151],"remain":[152],"confidential":[153],"while":[154],"maintaining":[155,218],"strong":[156],"performance.":[158],"evaluate":[160],"on":[162,241],"several":[163],"benchmark":[164],"datasets,":[166],"Cora,":[168],"Citeseer,":[169],"PubMed,":[170],"PROTEINS,":[172],"demonstrate":[174],"consistently":[177],"achieves":[178],"higher":[179],"accuracy":[180],"F1-scores":[182],"compared":[183],"methods.":[187],"Our":[188],"experiments":[189],"show":[190],"converges":[193],"faster":[194],"incurs":[196],"lower":[197],"communication":[198],"costs,":[199],"making":[200],"highly":[202],"efficient":[203],"real-world":[205],"applications.":[207],"Furthermore,":[208],"robust":[211],"across":[212],"different":[213],"numbers":[214],"participating":[216],"clients,":[217],"high":[219],"performance":[220],"even":[221],"scenarios.":[224],"These":[225],"results":[226],"highlight":[227],"potential":[229],"scalable":[234],"privacy-preserving":[236],"solution":[237]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}