{"id":"https://openalex.org/W4410985790","doi":"https://doi.org/10.1109/tdsc.2025.3574329","title":"Graph-Relational Federated Learning: Enhanced Personalization and Robustness","display_name":"Graph-Relational Federated Learning: Enhanced Personalization and Robustness","publication_year":2025,"publication_date":"2025-06-03","ids":{"openalex":"https://openalex.org/W4410985790","doi":"https://doi.org/10.1109/tdsc.2025.3574329"},"language":"en","primary_location":{"id":"doi:10.1109/tdsc.2025.3574329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2025.3574329","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Dependable and Secure Computing","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/A5046176565","display_name":"Wanyu Lin","orcid":"https://orcid.org/0000-0002-7328-8039"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wanyu Lin","raw_affiliation_strings":["Department of Data Science and Artificial Intelligence, Department of Computing, The Hong Kong Polytechnic University, Hong Kong","Department of Data Science and Artificial Intelligence and the Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-7328-8039","affiliations":[{"raw_affiliation_string":"Department of Data Science and Artificial Intelligence, Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Data Science and Artificial Intelligence and the Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100309929","display_name":"Hao Lan","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Lan","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8855-4072","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100659296","display_name":"He Hao","orcid":"https://orcid.org/0000-0003-2469-7394"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao He","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083596391","display_name":"Baochun Li","orcid":"https://orcid.org/0000-0003-2404-0974"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Baochun Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada","Department of Electrical and Computer Engineering, University of Toronto, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0003-2404-0974","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"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":0.86747259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"22","issue":"5","first_page":"5773","last_page":"5785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9950000047683716,"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":0.9950000047683716,"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":0.9581999778747559,"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":0.7946829199790955},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6895116567611694},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.6748309135437012},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46401724219322205},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4164879024028778},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3692117929458618},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2985396981239319},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.26770007610321045}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7946829199790955},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6895116567611694},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.6748309135437012},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46401724219322205},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4164879024028778},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3692117929458618},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2985396981239319},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.26770007610321045},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tdsc.2025.3574329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2025.3574329","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Dependable and Secure Computing","raw_type":"journal-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/113746","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/113746","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Journal/Magazine Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1958236864","https://openalex.org/W2153111836","https://openalex.org/W2194775991","https://openalex.org/W2744999500","https://openalex.org/W2950635152","https://openalex.org/W3091870957","https://openalex.org/W3108400054","https://openalex.org/W3132522414","https://openalex.org/W3133814152","https://openalex.org/W3135231128","https://openalex.org/W4206320562","https://openalex.org/W4285606214","https://openalex.org/W4385567869"],"related_works":["https://openalex.org/W2109940557","https://openalex.org/W2466832359","https://openalex.org/W4391210591","https://openalex.org/W1582019636","https://openalex.org/W1499005795","https://openalex.org/W3172493050","https://openalex.org/W4385420271","https://openalex.org/W4312192618","https://openalex.org/W2593798266","https://openalex.org/W4385414918"],"abstract_inverted_index":{"Hypernetwork":[0],"has":[1],"recently":[2],"emerged":[3],"as":[4,82],"a":[5,73,83],"promising":[6],"technique":[7],"to":[8,20,32,85,131,144],"generate":[9],"personalized":[10],"models":[11],"in":[12,41,58,103],"federated":[13],"learning":[14,33,87],"(FL).":[15],"However,":[16],"existing":[17],"works":[18],"tend":[19],"treat":[21],"each":[22,28],"client":[23,29,62,80,123],"equally":[24,31],"and":[25,36,88,108,139,151],"independently":[26],"\u2014":[27],"contributes":[30],"the":[34,42,59,118,122,132,137],"hypernetwork,":[35],"their":[37],"representations":[38],"are":[39,55],"independent":[40,46],"hypernetwork.":[43,93],"Such":[44],"an":[45],"treatment":[47],"ignores":[48],"topological":[49],"structures":[50],"among":[51],"different":[52],"clients,":[53],"which":[54,154],"usually":[56],"reflected":[57],"heterogeneity":[60],"of":[61,105,136],"data":[63],"distribution.":[64],"In":[65],"this":[66],"work,":[67],"we":[68,95],"propose":[69],"<italic":[70,97,114],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[71,98,115],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">panacea</i>,":[72],"novel":[74,133],"FL":[75],"framework":[76],"that":[77],"can":[78],"incorporate":[79],"relations":[81],"graph":[84,92],"facilitate":[86],"personalization":[89],"by":[90,120,158],"using":[91],"Empirically,":[94],"show":[96],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">panacea</i>":[99,116],"achieves":[100],"state-of-the-art":[101],"performance":[102],"terms":[104],"both":[106],"accuracy":[107],"speed":[109],"on":[110],"multiple":[111],"benchmarks.":[112],"Further,":[113],"improves":[117],"robustness":[119],"leveraging":[121],"relation":[124],"graph.":[125],"Specifically,":[126],"it":[127],"(1)":[128],"generalizes":[129],"better":[130],"clients":[134],"outside":[135],"training":[138],"(2)":[140],"is":[141,155],"more":[142],"resilient":[143],"various":[145],"adversarial":[146],"attacks,":[147,153],"including":[148],"model":[149],"poisoning":[150],"backdoor":[152],"also":[156],"proved":[157],"our":[159],"theoretical":[160],"analysis.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}