{"id":"https://openalex.org/W3033515580","doi":"https://doi.org/10.1109/jsac.2020.3000373","title":"Robust Coreset Construction for Distributed Machine Learning","display_name":"Robust Coreset Construction for Distributed Machine Learning","publication_year":2020,"publication_date":"2020-06-05","ids":{"openalex":"https://openalex.org/W3033515580","doi":"https://doi.org/10.1109/jsac.2020.3000373","mag":"3033515580"},"language":"en","primary_location":{"id":"doi:10.1109/jsac.2020.3000373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2020.3000373","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"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 Journal on Selected Areas in Communications","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/A5004170004","display_name":"Hanlin Lu","orcid":"https://orcid.org/0000-0001-6743-301X"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hanlin Lu","raw_affiliation_strings":["Pennsylvania State University, University Park, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030300744","display_name":"Ming-Ju Li","orcid":null},"institutions":[{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming-Ju Li","raw_affiliation_strings":["Amazon.com, Inc., Seattle, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, Inc., Seattle, USA","institution_ids":["https://openalex.org/I58610484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088400668","display_name":"Ting He","orcid":"https://orcid.org/0000-0003-1070-7483"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ting He","raw_affiliation_strings":["Pennsylvania State University, University Park, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443968","display_name":"Shiqiang Wang","orcid":"https://orcid.org/0000-0003-2090-5512"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiqiang Wang","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, USA"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101919131","display_name":"Vijaykrishnan Narayanan","orcid":"https://orcid.org/0000-0001-6266-6068"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijaykrishnan Narayanan","raw_affiliation_strings":["Pennsylvania State University, University Park, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057402438","display_name":"Kevin Chan","orcid":"https://orcid.org/0000-0002-6425-5403"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin S. Chan","raw_affiliation_strings":["Army Research Laboratory, Adelphi, USA"],"affiliations":[{"raw_affiliation_string":"Army Research Laboratory, Adelphi, USA","institution_ids":["https://openalex.org/I166416128"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5004170004"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":1.9205,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.88783922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"38","issue":"10","first_page":"2400","last_page":"2417"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9962999820709229,"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":0.9962999820709229,"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":0.9962000250816345,"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/T10057","display_name":"Face and Expression Recognition","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8328999280929565},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7647078633308411},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6779531240463257},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5620088577270508},{"id":"https://openalex.org/keywords/online-machine-learning","display_name":"Online machine learning","score":0.4898090064525604},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.46101418137550354},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4542849063873291},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.44996872544288635}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8328999280929565},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7647078633308411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6779531240463257},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5620088577270508},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.4898090064525604},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.46101418137550354},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4542849063873291},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.44996872544288635},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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":1,"locations":[{"id":"doi:10.1109/jsac.2020.3000373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2020.3000373","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"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 Journal on Selected Areas in Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3056544016","display_name":null,"funder_award_id":"W911NF-16-3-0001","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G6193076742","display_name":null,"funder_award_id":"1317560","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W132487560","https://openalex.org/W134960717","https://openalex.org/W150939725","https://openalex.org/W202059055","https://openalex.org/W596522316","https://openalex.org/W1580060649","https://openalex.org/W1604241128","https://openalex.org/W1800271513","https://openalex.org/W1977263019","https://openalex.org/W1981773323","https://openalex.org/W1984675750","https://openalex.org/W1992065791","https://openalex.org/W2009332171","https://openalex.org/W2045964207","https://openalex.org/W2049744118","https://openalex.org/W2051926224","https://openalex.org/W2059651397","https://openalex.org/W2073459066","https://openalex.org/W2086959852","https://openalex.org/W2109706083","https://openalex.org/W2133962824","https://openalex.org/W2144335278","https://openalex.org/W2146200992","https://openalex.org/W2155319834","https://openalex.org/W2157754768","https://openalex.org/W2158275940","https://openalex.org/W2166479660","https://openalex.org/W2410099853","https://openalex.org/W2535838896","https://openalex.org/W2559873021","https://openalex.org/W2773306503","https://openalex.org/W2776050171","https://openalex.org/W2788721134","https://openalex.org/W2804900738","https://openalex.org/W2949910245","https://openalex.org/W2962777529","https://openalex.org/W2962788286","https://openalex.org/W2963879412","https://openalex.org/W2964185995","https://openalex.org/W3009065449","https://openalex.org/W3098031065","https://openalex.org/W4253418273","https://openalex.org/W4297687186","https://openalex.org/W4300427714","https://openalex.org/W4318619660","https://openalex.org/W6605343936","https://openalex.org/W6605479355","https://openalex.org/W6608211845","https://openalex.org/W6634654135","https://openalex.org/W6638215108","https://openalex.org/W6645750607","https://openalex.org/W6668990524","https://openalex.org/W6681503828","https://openalex.org/W6681580871","https://openalex.org/W6683152347","https://openalex.org/W6684187592","https://openalex.org/W6689526104","https://openalex.org/W6728757088","https://openalex.org/W6730122194","https://openalex.org/W6738383168","https://openalex.org/W6748435924","https://openalex.org/W6765807149"],"related_works":["https://openalex.org/W4286799911","https://openalex.org/W4285282334","https://openalex.org/W3183560647","https://openalex.org/W3210156800","https://openalex.org/W3196155444","https://openalex.org/W4321844043","https://openalex.org/W3206510510","https://openalex.org/W3174183376","https://openalex.org/W3106337462","https://openalex.org/W1583266947"],"abstract_inverted_index":{"Coreset,":[0],"which":[1,116],"is":[2,44,150],"a":[3,13,23,36,53,88,104,120,124],"summary":[4],"of":[5,12,38,52,90,127,146],"the":[6,10,18,39,49,72,109,117,142,147],"original":[7,40],"dataset":[8],"in":[9,17],"form":[11],"small":[14],"weighted":[15],"set":[16],"same":[19],"sample":[20],"space,":[21],"provides":[22,119],"promising":[24],"approach":[25],"to":[26,47,65,138,160],"enable":[27],"machine":[28,55,68,91,128],"learning":[29,56,69,92,129,165],"over":[30],"distributed":[31,136],"data.":[32],"Although":[33],"viewed":[34],"as":[35],"proxy":[37],"dataset,":[41],"each":[42],"coreset":[43,82,118],"only":[45],"designed":[46],"approximate":[48],"cost":[50],"function":[51],"specific":[54],"problem,":[57],"and":[58,131,135,163],"thus":[59],"different":[60,67],"coresets":[61,140],"are":[62],"often":[63],"required":[64],"solve":[66],"problems,":[70,130],"increasing":[71],"communication":[73],"overhead.":[74],"We":[75],"resolve":[76],"this":[77],"dilemma":[78],"by":[79,95,111],"developing":[80,132],"robust":[81,105],"construction":[83],"algorithms":[84,137,149],"that":[85,98],"can":[86],"support":[87],"variety":[89],"problems.":[93,166],"Motivated":[94],"empirical":[96],"evidence":[97],"suitably-weighted":[99],"k":[100],"-clustering":[101],"centers":[102],"provide":[103],"coreset,":[106],"we":[107],"harden":[108],"observation":[110],"establishing":[112],"theoretical":[113],"conditions":[114],"under":[115],"guaranteed":[121],"approximation":[122],"for":[123],"broad":[125],"range":[126],"both":[133,161],"centralized":[134],"generate":[139],"satisfying":[141],"conditions.":[143],"The":[144],"robustness":[145],"proposed":[148],"verified":[151],"through":[152],"extensive":[153],"experiments":[154],"on":[155],"diverse":[156],"datasets":[157],"with":[158],"respect":[159],"supervised":[162],"unsupervised":[164]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}