{"id":"https://openalex.org/W4392234715","doi":"https://doi.org/10.1007/s41019-024-00243-0","title":"FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning","display_name":"FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning","publication_year":2024,"publication_date":"2024-02-28","ids":{"openalex":"https://openalex.org/W4392234715","doi":"https://doi.org/10.1007/s41019-024-00243-0"},"language":"en","primary_location":{"id":"doi:10.1007/s41019-024-00243-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-024-00243-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-024-00243-0.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s41019-024-00243-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020912693","display_name":"Lin Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Lin","raw_affiliation_strings":["The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, 310027, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, 310027, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103017455","display_name":"Lidan Shou","orcid":"https://orcid.org/0000-0001-8062-8356"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lidan Shou","raw_affiliation_strings":["The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, 310027, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, 310027, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451997","display_name":"Ke Chen","orcid":"https://orcid.org/0000-0002-3062-0900"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ke Chen","raw_affiliation_strings":["The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, 310027, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, 310027, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001591840","display_name":"Gang Chen","orcid":"https://orcid.org/0000-0001-8369-3006"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gang Chen","raw_affiliation_strings":["The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, 310027, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, 310027, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064646829","display_name":"Sai Wu","orcid":"https://orcid.org/0000-0002-1866-9197"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sai Wu","raw_affiliation_strings":["The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, 310027, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, 310027, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5001591840","https://openalex.org/A5020912693","https://openalex.org/A5064646829","https://openalex.org/A5100451997","https://openalex.org/A5103017455"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.3544,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61436436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"9","issue":"2","first_page":"204","last_page":"219"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9958999752998352,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9957000017166138,"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":0.8360825181007385},{"id":"https://openalex.org/keywords/guard","display_name":"Guard (computer science)","score":0.8216251730918884}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8360825181007385},{"id":"https://openalex.org/C141141315","wikidata":"https://www.wikidata.org/wiki/Q2379942","display_name":"Guard (computer science)","level":2,"score":0.8216251730918884},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s41019-024-00243-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-024-00243-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-024-00243-0.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2403.04146","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.04146","pdf_url":"https://arxiv.org/pdf/2403.04146","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:8209b2b1233a415697c0ba33475f38ae","is_oa":true,"landing_page_url":"https://doaj.org/article/8209b2b1233a415697c0ba33475f38ae","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Science and Engineering, Vol 9, Iss 2, Pp 204-219 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41019-024-00243-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-024-00243-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-024-00243-0.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4392234715.pdf"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W2157017541","https://openalex.org/W2262806837","https://openalex.org/W2560674852","https://openalex.org/W2604738573","https://openalex.org/W2753783305","https://openalex.org/W2941773831","https://openalex.org/W3018464563","https://openalex.org/W3080934299","https://openalex.org/W3091635927","https://openalex.org/W3168213397","https://openalex.org/W4312869277","https://openalex.org/W4315605949","https://openalex.org/W4318147601"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4254637722","https://openalex.org/W2980401999","https://openalex.org/W3016483420","https://openalex.org/W2331628363","https://openalex.org/W2390279801","https://openalex.org/W2393030234","https://openalex.org/W4391913857"],"abstract_inverted_index":{"Abstract":[0],"Federated":[1,57],"learning":[2,9,36,90,101,124,194,265],"(FL)":[3],"is":[4,48,224,272],"a":[5,10,162,177,206,263],"promising":[6],"approach":[7],"for":[8,173],"model":[11,241],"from":[12,67,260],"data":[13,20,33],"distributed":[14],"on":[15,169,213,219],"massive":[16],"clients":[17,30,63,136,281],"without":[18,117],"exposing":[19],"privacy.":[21],"It":[22],"works":[23],"effectively":[24],"in":[25,60,69,87,96,156,176,232,237,255],"the":[26,46,88,97,129,135,143,187,228,244,251],"ideal":[27],"federation":[28,47],"where":[29],"share":[31],"homogeneous":[32],"distribution":[34],"and":[35,195,258,278],"behavior.":[37],"However,":[38,78],"FL":[39,113,154,171],"may":[40,138],"fail":[41],"to":[42,75,84,141,151,182,197,262,283],"function":[43],"appropriately":[44],"when":[45,147,201,222,242],"not":[49],"ideal,":[50],"amid":[51],"an":[52,153,214,239],"unhealthy":[53],"state":[54],"called":[55],"Negative":[56],"Learning":[58],"(NFL),":[59],"which":[61,211,233],"most":[62],"gain":[64,218],"no":[65],"benefit":[66],"participating":[68],"FL.":[70],"Many":[71],"studies":[72],"have":[73],"tried":[74],"address":[76],"NFL.":[77],"their":[79],"solutions":[80,146,150,277],"either":[81,105],"(1)":[82,106],"predetermine":[83],"prevent":[85],"NFL":[86,95,145,175,185,208,223,229,257,261,276],"entire":[89],"life-cycle":[91],"or":[92,120],"(2)":[93,121],"tackle":[94],"aftermath":[98],"of":[99,128,191,193,216,253],"numerous":[100,123],"rounds.":[102,125],"Thus,":[103],"they":[104],"indiscriminately":[107],"incur":[108],"extra":[109],"costs":[110,119],"even":[111],"if":[112],"can":[114,166],"perform":[115],"well":[116],"such":[118],"waste":[122],"Additionally,":[126],"none":[127],"previous":[130,275],"work":[131],"takes":[132],"into":[133],"account":[134],"who":[137],"be":[139,167],"unwilling/unable":[140,282],"follow":[142],"proposed":[144],"using":[148],"those":[149],"upgrade":[152],"system":[155,172],"use.":[157],"This":[158],"paper":[159],"introduces":[160],"FL-GUARD,":[161],"holistic":[163],"framework":[164],"that":[165,270],"employed":[168],"any":[170,285],"tackling":[174],"run-time":[178],"paradigm.":[179],"That":[180],"is,":[181],"dynamically":[183],"detect":[184],"at":[186],"early":[188],"stage":[189],"(tens":[190],"rounds)":[192],"then":[196],"activate":[198,227],"recovery":[199,230,286],"measures":[200],"necessary.":[202],"Specifically,":[203],"we":[204,226],"devise":[205],"cost-effective":[207],"detection":[209],"mechanism,":[210],"relies":[212],"estimation":[215],"performance":[217],"clients.":[220],"Only":[221],"detected,":[225],"process,":[231],"each":[234],"client":[235],"learns":[236],"parallel":[238],"adapted":[240],"training":[243],"global":[245],"model.":[246],"Extensive":[247],"experiment":[248],"results":[249],"confirm":[250],"effectiveness":[252],"FL-GUARD":[254,271],"detecting":[256],"recovering":[259],"healthy":[264],"state.":[266],"We":[267],"also":[268],"show":[269],"compatible":[273],"with":[274],"robust":[279],"against":[280],"take":[284],"measures.":[287]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2024-03-05T00:00:00"}
