{"id":"https://openalex.org/W4295308234","doi":"https://doi.org/10.1109/tpds.2022.3205714","title":"TDFL: Truth Discovery Based Byzantine Robust Federated Learning","display_name":"TDFL: Truth Discovery Based Byzantine Robust Federated Learning","publication_year":2022,"publication_date":"2022-09-12","ids":{"openalex":"https://openalex.org/W4295308234","doi":"https://doi.org/10.1109/tpds.2022.3205714"},"language":"en","primary_location":{"id":"doi:10.1109/tpds.2022.3205714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2022.3205714","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"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 Transactions on Parallel and Distributed Systems","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/A5088765156","display_name":"Chang Xu","orcid":"https://orcid.org/0000-0002-9726-7232"},"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":true,"raw_author_name":"Chang Xu","raw_affiliation_strings":["School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030895811","display_name":"Yu Jia","orcid":"https://orcid.org/0000-0001-7115-403X"},"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":"Yu Jia","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634361","display_name":"Liehuang Zhu","orcid":"https://orcid.org/0000-0003-3277-3887"},"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":"Liehuang Zhu","raw_affiliation_strings":["School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","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":["School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053918379","display_name":"Guoxie Jin","orcid":"https://orcid.org/0000-0003-2813-3801"},"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":"Guoxie Jin","raw_affiliation_strings":["School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090688531","display_name":"Kashif Sharif","orcid":"https://orcid.org/0000-0001-7214-6568"},"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":"Kashif Sharif","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5088765156"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":5.9296,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.96695734,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"33","issue":"12","first_page":"4835","last_page":"4848"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9932000041007996,"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/T10237","display_name":"Cryptography and Data Security","score":0.9854000210762024,"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":0.8542004227638245},{"id":"https://openalex.org/keywords/byzantine-architecture","display_name":"Byzantine architecture","score":0.4718896150588989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4300713837146759},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3227604627609253}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8542004227638245},{"id":"https://openalex.org/C104562893","wikidata":"https://www.wikidata.org/wiki/Q47591","display_name":"Byzantine architecture","level":2,"score":0.4718896150588989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4300713837146759},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3227604627609253},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C195244886","wikidata":"https://www.wikidata.org/wiki/Q41493","display_name":"Ancient history","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tpds.2022.3205714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2022.3205714","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"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 Transactions on Parallel and Distributed Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G1709267661","display_name":null,"funder_award_id":"61872041","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3291271152","display_name":null,"funder_award_id":"U1804263","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3830888734","display_name":null,"funder_award_id":"2021TQ0042","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4376067305","display_name":null,"funder_award_id":"2021M700435","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5264831859","display_name":null,"funder_award_id":"61972037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W2086413055","https://openalex.org/W2112796928","https://openalex.org/W2116007667","https://openalex.org/W2559840118","https://openalex.org/W2750384547","https://openalex.org/W2752689052","https://openalex.org/W2788816110","https://openalex.org/W2789911054","https://openalex.org/W2807006176","https://openalex.org/W2810065831","https://openalex.org/W2903356604","https://openalex.org/W2964043980","https://openalex.org/W2972594657","https://openalex.org/W2995164118","https://openalex.org/W3003426262","https://openalex.org/W3009498583","https://openalex.org/W3016169665","https://openalex.org/W3038028469","https://openalex.org/W3048715803","https://openalex.org/W3081055514","https://openalex.org/W3107632872","https://openalex.org/W3118608800","https://openalex.org/W3127520698","https://openalex.org/W3131038008","https://openalex.org/W3138153888","https://openalex.org/W3138597937","https://openalex.org/W3154572656","https://openalex.org/W3155773625","https://openalex.org/W3197996077","https://openalex.org/W3198262235","https://openalex.org/W3202882929","https://openalex.org/W4206320562","https://openalex.org/W4287332481","https://openalex.org/W4318619660","https://openalex.org/W6728757088","https://openalex.org/W6743688258","https://openalex.org/W6743821447","https://openalex.org/W6748786018","https://openalex.org/W6748805329","https://openalex.org/W6752029299","https://openalex.org/W6752600739","https://openalex.org/W6756840679","https://openalex.org/W6759226220","https://openalex.org/W6770634426","https://openalex.org/W6771533808","https://openalex.org/W6773366154","https://openalex.org/W6782722732","https://openalex.org/W6787972765","https://openalex.org/W6794614314"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Federated":[0],"learning":[1,81],"(FL)":[2],"enables":[3],"data":[4],"owners":[5],"to":[6,20,28,40,49,141,151,167,187],"train":[7,41],"a":[8,58,66,78,134],"joint":[9],"global":[10,169],"model":[11,30,144,170],"without":[12,101,213],"sharing":[13],"private":[14],"data.":[15],"However,":[16],"it":[17],"is":[18,179,193,242],"vulnerable":[19],"Byzantine":[21,107],"attackers":[22,212],"that":[23,183,240],"can":[24,55,95,147,199],"launch":[25],"poisoning":[26,70,99,190,231],"attacks":[27,100,207,232],"destroy":[29],"training.":[31],"Existing":[32],"defense":[33],"strategies":[34,54],"rely":[35],"on":[36,233],"the":[37,106,115,173,180,195],"additional":[38,102],"datasets":[39,103],"trustable":[42],"server":[43],"models":[44],"or":[45,64],"trusted":[46],"execution":[47],"environments":[48],"mitigate":[50],"attacks.":[51,71,191],"Besides,":[52],"these":[53,74],"only":[56],"tolerate":[57],"small":[59],"number":[60],"of":[61,69,175,206,229],"malicious":[62,122,143],"users":[63,108],"resist":[65],"few":[67],"types":[68,228],"To":[72,172],"address":[73],"challenges,":[75],"we":[76,132,162],"design":[77,133],"novel":[79],"federated":[80],"method":[82],"<b>TDFL</b>":[83],",":[84],"<b>T</b>":[85],"ruth":[86],"<b>D</b>":[87],"iscovery":[88],"based":[89],"<b>F</b>":[90],"ederated":[91],"<b>L</b>":[92],"earning,":[93],"which":[94,146,198],"defend":[96,188],"against":[97,189],"multiple":[98,204],"even":[104],"when":[105],"are":[109,219],"<inline-formula><tex-math":[110,128,158],"notation=\"LaTeX\">$\\geq":[111,159],"50\\%$</tex-math></inline-formula>":[112,130,160],".":[113],"Specifically,":[114],"TDFL":[116,241],"considers":[117],"different":[118,121,234],"scenarios":[119],"with":[120,221],"proportions.":[123],"For":[124],"Honest-majority":[125],"setting":[126,156],"(Byzantine":[127,157],"notation=\"LaTeX\">$&lt;":[129],"),":[131,161],"special":[135],"robust":[136],"truth":[137,185],"discovery":[138,186],"aggregation":[139,224],"scheme":[140,197],"remove":[142],"updates,":[145],"assign":[148],"weights":[149],"according":[150],"users\u2019":[152],"contribution;":[153],"for":[154],"Byzantine-majority":[155],"use":[163],"maximum":[164],"clique-based":[165],"filter":[166],"guarantee":[168],"quality.":[171],"best":[174],"our":[176],"knowledge,":[177],"this":[178],"first":[181,196],"study":[182],"uses":[184],"It":[192],"also":[194],"achieve":[200],"strong":[201],"robustness":[202],"under":[203,226],"kinds":[205],"launched":[208],"by":[209],"high":[210],"proportion":[211],"root":[214],"datasets.":[215,235],"Extensive":[216],"comparative":[217],"experiments":[218],"designed":[220],"five":[222,227],"state-of-the-art":[223],"rules":[225],"classical":[230],"The":[236],"experimental":[237],"results":[238],"demonstrate":[239],"practical":[243],"and":[244],"achieves":[245],"reasonable":[246],"Byzantine-robustness.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}