{"id":"https://openalex.org/W4391021898","doi":"https://doi.org/10.1109/cdc49753.2023.10383715","title":"Resilient Federated Learning Under Byzantine Attack in Distributed Nonconvex Optimization with 2-$f$ Redundancy","display_name":"Resilient Federated Learning Under Byzantine Attack in Distributed Nonconvex Optimization with 2-$f$ Redundancy","publication_year":2023,"publication_date":"2023-12-13","ids":{"openalex":"https://openalex.org/W4391021898","doi":"https://doi.org/10.1109/cdc49753.2023.10383715"},"language":"en","primary_location":{"id":"doi:10.1109/cdc49753.2023.10383715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc49753.2023.10383715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 62nd IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-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/A5006644558","display_name":"Amit Dutta","orcid":"https://orcid.org/0000-0002-6058-6301"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Amit Dutta","raw_affiliation_strings":["Virginia Tech,Bradley Department of Electrical and Computer Engineering,Blacksburg,VA","Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Bradley Department of Electrical and Computer Engineering,Blacksburg,VA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035207859","display_name":"Thinh T. Doan","orcid":"https://orcid.org/0000-0001-5135-3429"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thinh T. Doan","raw_affiliation_strings":["Virginia Tech,Bradley Department of Electrical and Computer Engineering,Blacksburg,VA","Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Bradley Department of Electrical and Computer Engineering,Blacksburg,VA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027348774","display_name":"Jeffrey H. Reed","orcid":"https://orcid.org/0000-0003-3494-1901"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey H. Reed","raw_affiliation_strings":["Virginia Tech,Bradley Department of Electrical and Computer Engineering,Blacksburg,VA","Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Bradley Department of Electrical and Computer Engineering,Blacksburg,VA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006644558"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.1748,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59641634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1156","last_page":"1161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9984999895095825,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9984999895095825,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9980000257492065,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6803895831108093},{"id":"https://openalex.org/keywords/byzantine-fault-tolerance","display_name":"Byzantine fault tolerance","score":0.6656349301338196},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6501289010047913},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5305664539337158},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4616576135158539},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4345740079879761},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.353279173374176},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.3360939621925354},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3053727447986603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2605573832988739},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2144583761692047},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17987903952598572}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6803895831108093},{"id":"https://openalex.org/C168021876","wikidata":"https://www.wikidata.org/wiki/Q1353446","display_name":"Byzantine fault tolerance","level":3,"score":0.6656349301338196},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6501289010047913},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5305664539337158},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4616576135158539},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4345740079879761},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.353279173374176},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.3360939621925354},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3053727447986603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2605573832988739},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2144583761692047},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17987903952598572},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc49753.2023.10383715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc49753.2023.10383715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 62nd IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2752689052","https://openalex.org/W2788816110","https://openalex.org/W2963334472","https://openalex.org/W2979956265","https://openalex.org/W2986088584","https://openalex.org/W3043758338","https://openalex.org/W3046561551","https://openalex.org/W3092367439","https://openalex.org/W3109847748","https://openalex.org/W3134337010","https://openalex.org/W3193203888","https://openalex.org/W3195296996","https://openalex.org/W4252654521","https://openalex.org/W4318619660","https://openalex.org/W6728757088","https://openalex.org/W6743821447","https://openalex.org/W6748786018","https://openalex.org/W6773971411","https://openalex.org/W6800085129","https://openalex.org/W6838268419"],"related_works":["https://openalex.org/W2153096481","https://openalex.org/W2148616436","https://openalex.org/W2102525122","https://openalex.org/W4245282135","https://openalex.org/W4306316843","https://openalex.org/W2130594209","https://openalex.org/W4300955944","https://openalex.org/W2170004886","https://openalex.org/W2036953450","https://openalex.org/W2527822502"],"abstract_inverted_index":{"We":[0,73,172],"study":[1],"the":[2,55,62,65,70,79,102,107,116,123,129,138,142,148,158,165],"problem":[3],"of":[4,18,36,64,69,101,132,147,160,178],"Byzantine":[5,108,133],"fault":[6],"tolerance":[7],"in":[8,77,106,141,168],"a":[9,16,25,34,45,169,176],"distributed":[10],"optimization":[11],"setting,":[12],"where":[13],"there":[14,32],"is":[15,33,59,151],"group":[17],"<tex":[19,37],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[20,38],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$N$</tex>":[21],"agents":[22,40,134],"communicating":[23],"with":[24,54,164],"trusted":[26],"centralized":[27],"coordinator.":[28,56],"Among":[29],"these":[30],"agents,":[31],"subset":[35],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$f$</tex>":[39],"that":[41,113],"may":[42,49],"not":[43],"follow":[44],"prescribed":[46],"algorithm":[47],"and":[48,135],"share":[50],"arbitrarily":[51],"incorrect":[52],"information":[53],"The":[57,145],"goal":[58],"to":[60,89,152,156,181],"find":[61],"optimizer":[63,140],"aggregate":[66],"cost":[67],"functions":[68],"honest":[71],"agents.":[72],"will":[74,173],"be":[75],"interested":[76],"studying":[78],"local":[80,161],"gradient":[81,162],"descent":[82],"method,":[83],"also":[84,174],"known":[85],"as":[86],"federated":[87],"learning,":[88],"solve":[90],"this":[91,94],"problem.":[92],"However,":[93],"method":[95],"often":[96],"returns":[97],"an":[98],"approximate":[99],"value":[100],"underlying":[103],"optimal":[104],"solution":[105],"setting.":[109,144,171],"Recent":[110],"work":[111,150],"showed":[112],"by":[114],"incorporating":[115],"so-called":[117],"comparative":[118],"elimination":[119],"(CE)":[120],"filter":[121,167],"at":[122],"coordinator,":[124],"one":[125],"can":[126],"provably":[127],"mitigate":[128],"detrimental":[130],"impact":[131],"precisely":[136],"compute":[137],"true":[139],"convex":[143],"focus":[146],"present":[149],"provide":[153,175],"theoretical":[154,184],"results":[155],"show":[157],"convergence":[159],"methods":[163],"CE":[166],"nonconvex":[170],"number":[177],"numerical":[179],"simulations":[180],"support":[182],"our":[183],"results.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}