{"id":"https://openalex.org/W3037377495","doi":"https://doi.org/10.1137/20m1347772","title":"Distributed Learning with Sparse Communications by Identification","display_name":"Distributed Learning with Sparse Communications by Identification","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3037377495","doi":"https://doi.org/10.1137/20m1347772","mag":"3037377495"},"language":"en","primary_location":{"id":"doi:10.1137/20m1347772","is_oa":true,"landing_page_url":"https://doi.org/10.1137/20m1347772","pdf_url":null,"source":{"id":"https://openalex.org/S4210229561","display_name":"SIAM Journal on Mathematics of Data Science","issn_l":"2577-0187","issn":["2577-0187"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Mathematics of Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1137/20m1347772","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004713292","display_name":"Dmitry Grishchenko","orcid":"https://orcid.org/0000-0002-3066-3492"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dmitry Grishchenko","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088606935","display_name":"Franck Iutzeler","orcid":"https://orcid.org/0000-0003-2537-380X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Franck Iutzeler","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2537-380X","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007412200","display_name":"J\u00e9r\u00f4me Malick","orcid":"https://orcid.org/0000-0003-0371-0457"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J\u00e9r\u00f4me Malick","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5044686680","display_name":"Massih-Reza Amini","orcid":"https://orcid.org/0000-0001-9032-4233"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Massih-Reza Amini","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004713292"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5133578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":"2","first_page":"715","last_page":"735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.8252999782562256,"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":0.8252999782562256,"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":0.06939999759197235,"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":0.04600000008940697,"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/asynchronous-communication","display_name":"Asynchronous communication","score":0.7857648730278015},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7804521322250366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7381182909011841},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6691543459892273},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6410581469535828},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6259986758232117},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.599758505821228},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5450870990753174},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.43257245421409607},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.42946162819862366},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4240879714488983},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.41754722595214844},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3982757329940796},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.3543711304664612},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3256133198738098},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.319619357585907},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.133926659822464},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11773744225502014}],"concepts":[{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.7857648730278015},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7804521322250366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7381182909011841},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6691543459892273},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6410581469535828},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6259986758232117},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.599758505821228},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5450870990753174},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.43257245421409607},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.42946162819862366},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4240879714488983},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.41754722595214844},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3982757329940796},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.3543711304664612},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3256133198738098},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.319619357585907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.133926659822464},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11773744225502014},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1137/20m1347772","is_oa":true,"landing_page_url":"https://doi.org/10.1137/20m1347772","pdf_url":null,"source":{"id":"https://openalex.org/S4210229561","display_name":"SIAM Journal on Mathematics of Data Science","issn_l":"2577-0187","issn":["2577-0187"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Mathematics of Data Science","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1812.03871","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.03871","pdf_url":"https://arxiv.org/pdf/1812.03871","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":"","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01950120v2","is_oa":true,"landing_page_url":"https://hal.science/hal-01950120","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SIAM Journal on Mathematics of Data Science, 2021, 3 (2), pp.715-735. ⟨10.1137/20M1347772⟩","raw_type":"Journal articles"},{"id":"doi:10.48550/arxiv.1812.03871","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1812.03871","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1137/20m1347772","is_oa":true,"landing_page_url":"https://doi.org/10.1137/20m1347772","pdf_url":null,"source":{"id":"https://openalex.org/S4210229561","display_name":"SIAM Journal on Mathematics of Data Science","issn_l":"2577-0187","issn":["2577-0187"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Mathematics of Data Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320313937","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W130696423","https://openalex.org/W171925985","https://openalex.org/W205960364","https://openalex.org/W604355987","https://openalex.org/W1577337550","https://openalex.org/W1603765807","https://openalex.org/W1845160311","https://openalex.org/W1969594194","https://openalex.org/W1978669994","https://openalex.org/W2021789026","https://openalex.org/W2037679050","https://openalex.org/W2038497950","https://openalex.org/W2047894825","https://openalex.org/W2054276809","https://openalex.org/W2095984592","https://openalex.org/W2096725512","https://openalex.org/W2117229703","https://openalex.org/W2124125796","https://openalex.org/W2132003714","https://openalex.org/W2135046866","https://openalex.org/W2146842127","https://openalex.org/W2155727363","https://openalex.org/W2164075197","https://openalex.org/W2233806934","https://openalex.org/W2287826714","https://openalex.org/W2405578611","https://openalex.org/W2407022425","https://openalex.org/W2530417694","https://openalex.org/W2534721765","https://openalex.org/W2605041034","https://openalex.org/W2616657226","https://openalex.org/W2616811598","https://openalex.org/W2741107118","https://openalex.org/W2769582697","https://openalex.org/W2774777068","https://openalex.org/W2777891128","https://openalex.org/W2787803943","https://openalex.org/W2788351240","https://openalex.org/W2803379808","https://openalex.org/W2883309838","https://openalex.org/W2892013207","https://openalex.org/W2911976439","https://openalex.org/W2952139899","https://openalex.org/W2963115772","https://openalex.org/W2963326510","https://openalex.org/W2963607435","https://openalex.org/W2963615052","https://openalex.org/W2963803379","https://openalex.org/W2964061100","https://openalex.org/W2964092527","https://openalex.org/W2966396637","https://openalex.org/W2970289928","https://openalex.org/W2995022099","https://openalex.org/W3090131095","https://openalex.org/W3101462918","https://openalex.org/W3103793615","https://openalex.org/W4205213118","https://openalex.org/W4206742934"],"related_works":["https://openalex.org/W2123317341","https://openalex.org/W2364921833","https://openalex.org/W1505544058","https://openalex.org/W3100791781","https://openalex.org/W1548320035","https://openalex.org/W1481543858","https://openalex.org/W2128417237","https://openalex.org/W1552553925","https://openalex.org/W3037377495","https://openalex.org/W2963673659"],"abstract_inverted_index":{"In":[0],"distributed":[1],"optimization":[2,46],"for":[3],"large-scale":[4],"learning,":[5],"a":[6,31,39,62],"major":[7],"performance":[8],"limitation":[9],"stems":[10],"from":[11,61],"the":[12,15,19,51,54,66,77],"communications":[13,52],"between":[14,53,103],"different":[16],"entities.":[17],"To":[18],"extent":[20],"that":[21,48,71],"computations":[22],"are":[23],"performed":[24],"by":[25],"workers":[26],"on":[27],"local":[28,67],"data":[29],"while":[30],"coordinator":[32,55,104],"machine":[33],"coordinates":[34],"their":[35],"updates":[36],"to":[37,93],"minimize":[38],"global":[40],"loss,":[41],"we":[42],"present":[43],"an":[44,95],"asynchronous":[45],"algorithm":[47,73],"efficiently":[49],"reduces":[50],"and":[56,81,105],"workers.":[57,106],"This":[58],"reduction":[59],"comes":[60],"random":[63],"sparsification":[64],"of":[65],"updates.":[68],"We":[69,88],"show":[70],"this":[72,91],"converges":[74],"linearly":[75],"in":[76],"strongly":[78,85],"convex":[79],"case":[80],"also":[82],"identifies":[83],"optimal":[84],"sparse":[86],"solutions.":[87],"further":[89],"exploit":[90],"identification":[92],"propose":[94],"automatic":[96],"dimension":[97],"reduction,":[98],"aptly":[99],"sparsifying":[100],"all":[101],"exchanges":[102]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2020-07-02T00:00:00"}