{"id":"https://openalex.org/W4323521034","doi":"https://doi.org/10.1109/ieeeconf56349.2022.10051851","title":"Harvesting Curvatures for Communication-Efficient Distributed Optimization","display_name":"Harvesting Curvatures for Communication-Efficient Distributed Optimization","publication_year":2022,"publication_date":"2022-10-31","ids":{"openalex":"https://openalex.org/W4323521034","doi":"https://doi.org/10.1109/ieeeconf56349.2022.10051851"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf56349.2022.10051851","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf56349.2022.10051851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102505907","display_name":"Diogo Cardoso","orcid":null},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["PT","US"],"is_corresponding":false,"raw_author_name":"Diogo Cardoso","raw_affiliation_strings":["Carnegie Mellon University,Department of Electrical and Computer Engineering,USA","Institute for Systems and Robotics, IST-University of Lisbon, Portugal","Department of Electrical and Computer Engineering, Carnegie Mellon University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Institute for Systems and Robotics, IST-University of Lisbon, Portugal","institution_ids":["https://openalex.org/I141596103","https://openalex.org/I4210166615"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073178391","display_name":"Boyue Li","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Boyue Li","raw_affiliation_strings":["Carnegie Mellon University,Department of Electrical and Computer Engineering,USA","Department of Electrical and Computer Engineering, Carnegie Mellon University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053809095","display_name":"Yuejie Chi","orcid":"https://orcid.org/0000-0002-6766-5459"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuejie Chi","raw_affiliation_strings":["Carnegie Mellon University,Department of Electrical and Computer Engineering,USA","Department of Electrical and Computer Engineering, Carnegie Mellon University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054699169","display_name":"Jo\u00e3o Xavier","orcid":"https://orcid.org/0000-0002-9669-8532"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I4210116723","display_name":"Robotics Research (United States)","ror":"https://ror.org/020w2fr77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116723"]},{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT","US"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Xavier","raw_affiliation_strings":["Institute for Systems and Robotics, IST-University of Lisbon,Portugal","Institute for Systems and Robotics, IST-University of Lisbon, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Systems and Robotics, IST-University of Lisbon,Portugal","institution_ids":["https://openalex.org/I4210116723","https://openalex.org/I4210166615"]},{"raw_affiliation_string":"Institute for Systems and Robotics, IST-University of Lisbon, Portugal","institution_ids":["https://openalex.org/I141596103","https://openalex.org/I4210166615"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"749","last_page":"753"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9993000030517578,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7676658630371094},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5091740489006042},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4794434607028961},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4778256416320801},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4637008607387543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3979852795600891},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34182363748550415},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33335864543914795},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1536378264427185}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7676658630371094},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5091740489006042},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4794434607028961},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4778256416320801},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4637008607387543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3979852795600891},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34182363748550415},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33335864543914795},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1536378264427185},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/ieeeconf56349.2022.10051851","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf56349.2022.10051851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G556177632","display_name":null,"funder_award_id":"PD/BD/143146/2019","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G6636086349","display_name":"CIF: Small: Resource-Efficient Statistical Inference in Networked Environments","funder_award_id":"2007911","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8491169386","display_name":null,"funder_award_id":"FA8750-20-2-0504","funder_id":"https://openalex.org/F4320338294","funder_display_name":"Air Force Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"},{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2152799677","https://openalex.org/W2158737242","https://openalex.org/W2535838896","https://openalex.org/W2947064482","https://openalex.org/W2963179579","https://openalex.org/W2963335515","https://openalex.org/W2964231067","https://openalex.org/W2995022099","https://openalex.org/W3086080324","https://openalex.org/W3194313756","https://openalex.org/W3202869544","https://openalex.org/W4283320273","https://openalex.org/W4292363360","https://openalex.org/W4293775970","https://openalex.org/W4297687186","https://openalex.org/W4318619660","https://openalex.org/W6640396632","https://openalex.org/W6682557032","https://openalex.org/W6728757088","https://openalex.org/W6744321884","https://openalex.org/W6752191696","https://openalex.org/W6774934054","https://openalex.org/W6839799260"],"related_works":["https://openalex.org/W42295635","https://openalex.org/W1973996291","https://openalex.org/W2330575325","https://openalex.org/W4388747848","https://openalex.org/W2163803519","https://openalex.org/W2497592525","https://openalex.org/W3096145648","https://openalex.org/W3197510923","https://openalex.org/W2370579019","https://openalex.org/W4313265328"],"abstract_inverted_index":{"This":[0,127],"paper":[1,128],"considers":[2],"the":[3,10,14,52,57,66,69,82,92,100,112,116,122,125,149],"design":[4],"of":[5,16,51,115,124],"distributed":[6,26],"optimization":[7],"algorithms":[8,175],"in":[9,24,81,104],"server-client":[11],"setting,":[12],"with":[13,68],"goal":[15],"achieving":[17],"better":[18,88],"communication":[19,35,42,89,170],"efficiency,":[20],"a":[21,130,139,144],"crucial":[22],"desiderata":[23],"modern":[25],"machine":[27],"learning":[28],"applications.":[29],"One":[30],"popular":[31],"approach":[32],"to":[33,37,87,159],"reduce":[34],"is":[36,94,152],"impose":[38],"more":[39],"computation":[40],"between":[41],"rounds,":[43],"by":[44,137],"letting":[45],"each":[46],"client":[47],"optimize":[48],"an":[49,105],"approximation":[50,84],"global":[53,73,117],"objective":[54,59,118],"function-constructed":[55],"using":[56,143,155],"local":[58,83],"function":[60,119],"and":[61,179],"aggregated":[62],"history":[63,157],"information-and":[64],"exchange":[65],"updates":[67],"parameter":[70],"server":[71],"for":[72,163],"consensus.":[74],"In":[75],"particular,":[76],"judiciously":[77],"incorporating":[78],"second-order":[79,101,140],"information":[80,114,162],"often":[85],"leads":[86],"efficiency":[90,171],"when":[91],"problem":[93],"ill-conditioned.":[95],"However,":[96],"existing":[97],"methods":[98],"construct":[99],"correction":[102,141],"term":[103,142],"isotropic":[106],"manner,":[107],"without":[108],"taking":[109],"into":[110],"account":[111],"curvature":[113,161],"accumulated":[120],"over":[121,172],"course":[123],"algorithm.":[126],"proposes":[129],"novel":[131],"algorithm":[132],"that":[133],"refines":[134],"this":[135],"idea":[136],"constructing":[138],"BFGS-style":[145],"update":[146],"formula,":[147],"where":[148],"kernel":[150],"matrix":[151],"updated":[153],"recursively":[154],"only":[156],"gradients":[158],"harvest":[160],"accelerating":[164],"convergence.":[165],"Numerical":[166],"experiments":[167],"demonstrate":[168],"improved":[169],"competitive":[173],"baseline":[174],"on":[176],"both":[177],"synthetic":[178],"real":[180],"datasets.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}
