{"id":"https://openalex.org/W3015469436","doi":"https://doi.org/10.1109/icassp40776.2020.9053465","title":"Resilient to Byzantine Attacks Finite-Sum Optimization Over Networks","display_name":"Resilient to Byzantine Attacks Finite-Sum Optimization Over Networks","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015469436","doi":"https://doi.org/10.1109/icassp40776.2020.9053465","mag":"3015469436"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5074757613","display_name":"Zhaoxian Wu","orcid":"https://orcid.org/0000-0001-6724-6134"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaoxian Wu","raw_affiliation_strings":["School of Data and Computer Science and Guangdong Province Key Laboratory of Computational Science, Sun Yat-Sen University"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science and Guangdong Province Key Laboratory of Computational Science, Sun Yat-Sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029820392","display_name":"Qing Ling","orcid":"https://orcid.org/0000-0003-4222-5964"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Ling","raw_affiliation_strings":["School of Data and Computer Science and Guangdong Province Key Laboratory of Computational Science, Sun Yat-Sen University"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science and Guangdong Province Key Laboratory of Computational Science, Sun Yat-Sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100783476","display_name":"Tianyi Chen","orcid":"https://orcid.org/0000-0003-3477-1439"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianyi Chen","raw_affiliation_strings":["Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute"],"affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026758314","display_name":"Georgios B. Giannakis","orcid":"https://orcid.org/0000-0002-0196-0260"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georgios B. Giannakis","raw_affiliation_strings":["Department of Electrical and Computer Engineering and Digital Technology Center, University of Minnesota"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and Digital Technology Center, University of Minnesota","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074757613"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03412385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"5910","last_page":"5914"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","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/T11612","display_name":"Stochastic Gradient Optimization Techniques","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/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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9929999709129333,"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/robustness","display_name":"Robustness (evolution)","score":0.7159576416015625},{"id":"https://openalex.org/keywords/byzantine-fault-tolerance","display_name":"Byzantine fault tolerance","score":0.7100800275802612},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6905295252799988},{"id":"https://openalex.org/keywords/byzantine-architecture","display_name":"Byzantine architecture","score":0.688132643699646},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.49292516708374023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3366129398345947},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3363293409347534},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.30461710691452026},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.28980547189712524},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21082961559295654},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07342833280563354}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7159576416015625},{"id":"https://openalex.org/C168021876","wikidata":"https://www.wikidata.org/wiki/Q1353446","display_name":"Byzantine fault tolerance","level":3,"score":0.7100800275802612},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6905295252799988},{"id":"https://openalex.org/C104562893","wikidata":"https://www.wikidata.org/wiki/Q47591","display_name":"Byzantine architecture","level":2,"score":0.688132643699646},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.49292516708374023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3366129398345947},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3363293409347534},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.30461710691452026},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28980547189712524},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21082961559295654},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07342833280563354},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1501362825","https://openalex.org/W1753414968","https://openalex.org/W1939652453","https://openalex.org/W2020915989","https://openalex.org/W2107438106","https://openalex.org/W2128906841","https://openalex.org/W2403871130","https://openalex.org/W2414455940","https://openalex.org/W2614254310","https://openalex.org/W2618983116","https://openalex.org/W2622263826","https://openalex.org/W2752689052","https://openalex.org/W2788308444","https://openalex.org/W2789243870","https://openalex.org/W2789911054","https://openalex.org/W2798551148","https://openalex.org/W2809788191","https://openalex.org/W2884265051","https://openalex.org/W2892207927","https://openalex.org/W2922259313","https://openalex.org/W2940040251","https://openalex.org/W2947064482","https://openalex.org/W2952215077","https://openalex.org/W2952594493","https://openalex.org/W2962696654","https://openalex.org/W2962798535","https://openalex.org/W2963156201","https://openalex.org/W2963334472","https://openalex.org/W2963372166","https://openalex.org/W2963607709","https://openalex.org/W2964029263","https://openalex.org/W2966757932","https://openalex.org/W2969483282","https://openalex.org/W2969788501","https://openalex.org/W3101686246","https://openalex.org/W3137092842","https://openalex.org/W4241078790","https://openalex.org/W4248358572","https://openalex.org/W4294568923","https://openalex.org/W4298091519","https://openalex.org/W4310000758","https://openalex.org/W6630053611","https://openalex.org/W6675588070","https://openalex.org/W6676105031","https://openalex.org/W6680196509","https://openalex.org/W6734509502","https://openalex.org/W6738489016","https://openalex.org/W6739622702","https://openalex.org/W6743821447","https://openalex.org/W6748268456","https://openalex.org/W6748632073","https://openalex.org/W6748786018","https://openalex.org/W6750132121","https://openalex.org/W6760825779","https://openalex.org/W6763401820","https://openalex.org/W6767502802"],"related_works":["https://openalex.org/W635625959","https://openalex.org/W1548189724","https://openalex.org/W4242769984","https://openalex.org/W2034320198","https://openalex.org/W4252331942","https://openalex.org/W4386477301","https://openalex.org/W4220997590","https://openalex.org/W2763042189","https://openalex.org/W2002589180","https://openalex.org/W2953763514"],"abstract_inverted_index":{"This":[0,64],"contribution":[1],"deals":[2],"with":[3,20,32],"distributed":[4,93,111],"finite-sum":[5,101],"optimization":[6,102],"for":[7,97],"learning":[8,98],"over":[9,103,193],"networks":[10],"in":[11,75],"the":[12,38,52,61,76,84,107,113,118,123,129,136,141,159,163,170,178,189],"presence":[13,77],"of":[14,72,78,135,143,158,165,172,180,191],"malicious":[15,48],"Byzantine":[16,53,79,90,139,173,184],"attacks.":[17,80],"To":[18,81],"cope":[19],"such":[21],"attacks,":[22,185],"resilient":[23,92],"approaches":[24],"so":[25],"far":[26],"combine":[27],"stochastic":[28,57,125],"gradient":[29,41,66],"descent":[30],"(SGD)":[31],"different":[33],"robust":[34],"aggregation":[35],"rules.":[36],"However,":[37],"sizeable":[39],"SGD-induced":[40],"noise":[42,67],"makes":[43],"it":[44],"challenging":[45],"to":[46,121,146,150,155,182],"distinguish":[47],"messages":[49],"sent":[50,59,127],"by":[51,60,110,128,169],"attackers":[54],"from":[55],"noisy":[56],"gradients":[58,126],"friendly":[62],"workers.":[63,130,174],"motivates":[65],"reduction":[68],"as":[69,186,188],"a":[70,89,156],"means":[71],"robustifying":[73],"SGD":[74],"this":[82],"end,":[83],"present":[85],"work":[86],"puts":[87],"forth":[88],"attack":[91],"(Byrd-)":[94],"SAGA":[95],"approach":[96],"tasks":[99],"involving":[100],"networks.":[104],"Rather":[105],"than":[106,133],"mean":[108],"employed":[109],"SAGA,":[112],"novel":[114],"Byrd-SAGA":[115,149,181,192],"relies":[116],"on":[117],"geometric":[119,144],"median":[120,145],"aggregate":[122],"corrected":[124],"When":[131],"less":[132],"half":[134],"workers":[137],"are":[138],"attackers,":[140],"robustness":[142,179],"outliers":[147],"enables":[148],"achieve":[151],"provable":[152],"linear":[153],"convergence":[154],"neighborhood":[157,166],"optimal":[160],"solution,":[161],"where":[162],"size":[164],"is":[167],"determined":[168],"number":[171],"Numerical":[175],"tests":[176],"demonstrate":[177],"various":[183],"well":[187],"merits":[190],"Byzantine-resilient":[194],"SGD.":[195]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
