{"id":"https://openalex.org/W4399794386","doi":"https://doi.org/10.1145/3637528.3671660","title":"HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning","display_name":"HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4399794386","doi":"https://doi.org/10.1145/3637528.3671660"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3671660","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2406.10616","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001472287","display_name":"Zhuoning Guo","orcid":"https://orcid.org/0000-0003-1448-5566"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhuoning Guo","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou) &amp; The Hong Kong University of Science and Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1448-5566","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou) &amp; The Hong Kong University of Science and Technology, Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099230368","display_name":"Duanyi Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Duanyi Yao","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-8520-4069","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636286","display_name":"Qiang Yang","orcid":"https://orcid.org/0000-0001-5059-8360"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qiang Yang","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-5059-8360","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100458897","display_name":"Hao Liu","orcid":"https://orcid.org/0000-0003-4271-1567"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Liu","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou) &amp; The Hong Kong University of Science and Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4271-1567","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou) &amp; The Hong Kong University of Science and Technology, Guangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"968","last_page":"979"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9936000108718872,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/silo","display_name":"Silo","score":0.7041448354721069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6986192464828491},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5222547650337219},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2892815172672272},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13572439551353455}],"concepts":[{"id":"https://openalex.org/C2778024958","wikidata":"https://www.wikidata.org/wiki/Q213643","display_name":"Silo","level":2,"score":0.7041448354721069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6986192464828491},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5222547650337219},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2892815172672272},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13572439551353455},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3637528.3671660","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2406.10616","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.10616","pdf_url":"https://arxiv.org/pdf/2406.10616","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-143421","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-143421","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2406.10616","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.10616","pdf_url":"https://arxiv.org/pdf/2406.10616","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1782397203","display_name":null,"funder_award_id":"92370204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2005150936","display_name":null,"funder_award_id":"62102110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5332081803","display_name":null,"funder_award_id":"2023A03J0008","funder_id":"https://openalex.org/F4320323537","funder_display_name":"Hong Kong University of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323537","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399794386.pdf","grobid_xml":"https://content.openalex.org/works/W4399794386.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1965483199","https://openalex.org/W2207819601","https://openalex.org/W2912213068","https://openalex.org/W2912870707","https://openalex.org/W2955141733","https://openalex.org/W3038022836","https://openalex.org/W3081203761","https://openalex.org/W3119100156","https://openalex.org/W3171370296","https://openalex.org/W3174135700","https://openalex.org/W3176786489","https://openalex.org/W3197991416","https://openalex.org/W3213120752","https://openalex.org/W3217045679","https://openalex.org/W4221156096","https://openalex.org/W4226524907","https://openalex.org/W4281686206","https://openalex.org/W4290875407","https://openalex.org/W4290945652","https://openalex.org/W4294533889","https://openalex.org/W4303648433","https://openalex.org/W4318586086","https://openalex.org/W4318822841","https://openalex.org/W4323343894","https://openalex.org/W4367046655","https://openalex.org/W4372348664","https://openalex.org/W4385270425","https://openalex.org/W4391661565","https://openalex.org/W6759238902","https://openalex.org/W6848429878"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2523330964","https://openalex.org/W2383857829","https://openalex.org/W2023971635","https://openalex.org/W2903433011","https://openalex.org/W2485498725","https://openalex.org/W2388672951","https://openalex.org/W2381041855","https://openalex.org/W3204851139"],"abstract_inverted_index":{"Federated":[0,89],"Graph":[1,90],"Learning":[2,91],"(FGL)":[3],"has":[4],"emerged":[5],"as":[6],"a":[7,42,87,101,120],"promising":[8],"way":[9],"to":[10,36,105,126,130],"learn":[11],"high-quality":[12],"representations":[13],"from":[14],"distributed":[15],"graph":[16,39,76,115],"data":[17],"with":[18,146],"privacy":[19,68,144],"preservation.":[20],"Despite":[21],"considerable":[22],"efforts":[23],"have":[24],"been":[25],"made":[26],"for":[27,94,169],"FGL":[28,185],"under":[29],"either":[30,173],"cross-device":[31,46,96,177],"or":[32,176],"cross-silo":[33,45,95,175],"paradigm,":[34],"how":[35],"effectively":[37],"capture":[38],"knowledge":[40],"in":[41,70,82,172,183],"more":[43],"complicated":[44],"environment":[47],"remains":[48],"an":[49],"under-explored":[50],"problem.":[51],"However,":[52],"this":[53,80,83],"task":[54],"is":[55],"challenging":[56],"because":[57],"of":[58,64,157],"the":[59,74,155,158],"inherent":[60],"hierarchy":[61],"and":[62,73,132],"heterogeneity":[63],"decentralized":[65],"clients,":[66,72],"diversified":[67],"constraints":[69],"different":[71],"cross-client":[75],"integrity":[77],"requirement.":[78],"To":[79],"end,":[81],"paper,":[84],"we":[85,99,118],"propose":[86,119],"Hierarchical":[88],"(HiFGL)":[92],"framework":[93,160],"FGL.":[97],"Specifically,":[98],"devise":[100],"unified":[102],"hierarchical":[103],"architecture":[104],"safeguard":[106],"federated":[107],"GNN":[108],"training":[109],"on":[110,151],"heterogeneous":[111],"clients":[112],"while":[113],"ensuring":[114],"integrity.":[116],"Moreover,":[117],"Secret":[121],"Message":[122],"Passing":[123],"(SecMP)":[124],"scheme":[125],"shield":[127],"unauthorized":[128],"access":[129],"subgraph-level":[131],"node-level":[133],"sensitive":[134],"information":[135],"simultaneously.":[136],"Theoretical":[137],"analysis":[138],"proves":[139],"that":[140],"HiFGL":[141],"achieves":[142],"multi-level":[143],"preservation":[145],"complexity":[147],"guarantees.":[148],"Extensive":[149],"experiments":[150],"real-world":[152,184],"datasets":[153],"validate":[154],"superiority":[156],"proposed":[159],"against":[161],"several":[162],"baselines.":[163],"Furthermore,":[164],"HiFGL's":[165],"versatile":[166],"nature":[167],"allows":[168],"its":[170,181],"application":[171],"solely":[174],"settings,":[178],"further":[179],"broadening":[180],"utility":[182],"applications.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
