{"id":"https://openalex.org/W4321021067","doi":"https://doi.org/10.1109/lcsys.2023.3244740","title":"A Stochastic Second-Order Proximal Method for Distributed Optimization","display_name":"A Stochastic Second-Order Proximal Method for Distributed Optimization","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4321021067","doi":"https://doi.org/10.1109/lcsys.2023.3244740"},"language":"en","primary_location":{"id":"doi:10.1109/lcsys.2023.3244740","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/lcsys.2023.3244740","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"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 Control Systems Letters","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/A5054031988","display_name":"Chenyang Qiu","orcid":"https://orcid.org/0000-0003-0992-3066"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Qiu","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0992-3066","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007013035","display_name":"Shanying Zhu","orcid":"https://orcid.org/0000-0003-4860-4519"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanying Zhu","raw_affiliation_strings":["Department of Automation and the Key Laboratory of System Control and Information Processing, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4860-4519","affiliations":[{"raw_affiliation_string":"Department of Automation and the Key Laboratory of System Control and Information Processing, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076476787","display_name":"Zichong Ou","orcid":"https://orcid.org/0000-0002-5582-2752"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zichong Ou","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5582-2752","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100675573","display_name":"Jie Lu","orcid":"https://orcid.org/0000-0002-4362-6543"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Lu","raw_affiliation_strings":["School of Information Science and Technology and the Shanghai Engineering Research Center of Energy Efficient and Custom AI IC, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4362-6543","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology and the Shanghai Engineering Research Center of Energy Efficient and Custom AI IC, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6345,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71513657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"1405","last_page":"1410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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":0.9986000061035156,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.989300012588501,"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/hessian-matrix","display_name":"Hessian matrix","score":0.8306971788406372},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6693820953369141},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.661918580532074},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.639648973941803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5732874274253845},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.5298362374305725},{"id":"https://openalex.org/keywords/augmented-lagrangian-method","display_name":"Augmented Lagrangian method","score":0.523087739944458},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4616585671901703},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.44902855157852173},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3693346381187439},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.33824896812438965},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32005709409713745}],"concepts":[{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.8306971788406372},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6693820953369141},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.661918580532074},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.639648973941803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5732874274253845},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.5298362374305725},{"id":"https://openalex.org/C150452318","wikidata":"https://www.wikidata.org/wiki/Q4820432","display_name":"Augmented Lagrangian method","level":2,"score":0.523087739944458},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4616585671901703},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.44902855157852173},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3693346381187439},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.33824896812438965},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32005709409713745},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcsys.2023.3244740","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/lcsys.2023.3244740","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"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 Control Systems Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5}],"awards":[{"id":"https://openalex.org/G3082050499","display_name":null,"funder_award_id":"61603254","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W2044212084","https://openalex.org/W2047266644","https://openalex.org/W2108924122","https://openalex.org/W2963433607","https://openalex.org/W3011252985","https://openalex.org/W3027133497","https://openalex.org/W3033819030","https://openalex.org/W3105600443","https://openalex.org/W3137079232","https://openalex.org/W3214324039","https://openalex.org/W4200249081","https://openalex.org/W4292363360","https://openalex.org/W4299569908","https://openalex.org/W4312317960","https://openalex.org/W6680825095","https://openalex.org/W6728757088","https://openalex.org/W6746200960","https://openalex.org/W6752191696","https://openalex.org/W6779452355"],"related_works":["https://openalex.org/W2611031068","https://openalex.org/W1704347466","https://openalex.org/W1996936972","https://openalex.org/W4283017538","https://openalex.org/W1545275724","https://openalex.org/W2802707792","https://openalex.org/W2569979269","https://openalex.org/W2075777916","https://openalex.org/W3021699548","https://openalex.org/W4387635768"],"abstract_inverted_index":{"We":[0,60],"propose":[1],"a":[2,13,31,77],"distributed":[3],"stochastic":[4],"second-order":[5,33],"proximal":[6],"(St-SoPro)":[7],"method":[8],"that":[9,52,62,100],"enables":[10],"agents":[11,71],"in":[12,56,74,106],"network":[14],"to":[15,49,76],"cooperatively":[16],"minimize":[17],"the":[18,43,70,80,83],"sum":[19],"of":[20,79,108],"their":[21],"local":[22,44],"loss":[23],"functions":[24],"without":[25],"any":[26],"centralized":[27],"coordination.":[28],"St-SoPro":[29,101],"incorporates":[30],"decentralized":[32],"approximation":[34],"into":[35],"an":[36],"augmented":[37],"Lagrangian":[38],"function,":[39],"and":[40,46,67,82,115],"randomly":[41],"samples":[42],"gradients":[45],"Hessian":[47],"matrices":[48],"update,":[50],"so":[51],"it":[53],"is":[54],"efficient":[55],"solving":[57],"large-scale":[58],"problems.":[59],"show":[61],"for":[63],"restricted":[64],"strongly":[65],"convex":[66],"smooth":[68],"problems,":[69],"linearly":[72],"converge":[73],"expectation":[75],"neighborhood":[78,84],"optimum,":[81],"can":[85],"be":[86],"arbitrarily":[87],"small":[88],"under":[89],"proper":[90],"parameter":[91],"settings.":[92],"Simulations":[93],"over":[94],"real":[95],"machine":[96],"learning":[97],"datasets":[98],"demonstrate":[99],"outperforms":[102],"several":[103],"state-of-the-art":[104],"methods":[105],"terms":[107],"convergence":[109],"speed":[110],"as":[111,113],"well":[112],"computation":[114],"communication":[116],"costs.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}