{“id”:“https://openalex.org/W4200078897“,”doi“:”https://doi.org/10.1016/j.automatica.2021.110095“,”title“:”加速分布式梯度衰减法的迭代预处理:线性最小二乘问题的情况“,”display_name“:”加快分布式梯度衰减方法的迭代预条件:线性最小二乘的情况“。”publication_year“:2021,”publication_date“:”2021-12-18“,”ids“:{”openalex“:”https://openalex.org/W4200078897“,”doi“:”https://doi.org/10.1016/j.automatica.2021.110095“},”language“:”en“,”primary_location“:{”is_oa“:true,”landing_page_url“:”https://doi.org/10.1016/j.automatica.2021.110095,“pdf_url”:https://www.sciencedirect.com/science/article/am/pii/S0005109821006245,“源”:{“id”:https://openalex.org/S51360982“,”display_name“:”Automatica“,”issn_l“:”0005-1098“,”isn“:[”0005-1088“,“1873-2836”],”is_oa“:false,”is-in_doaj“:false,”is_core“:true,”host_organization“:”https://openalex.org/P4310320990“,”“host_organization_name”:“Elsevier BV”,“host_organization_lineage”:[“https://openalex.org/P4310320990“],”host_organization_lineage_names“:[”Elsevier BV“],“type”:“journal”},“license”:“publisher-specific-oa”,“licence_id”:“https://openalex.org/licenses/publisher-specific-oa“,”version“:”acceptedVersion“,”is_accepted“:true,”is_published“:false},”type“:”article“,”type_crossref“:“journal-article”,”indexed_in“:[”crossref“],”open_access“:{”is_oa“:true,”oa_status“:”青铜“,”oa_url“:”https://www.sciencedirect.com/science/article/am/pii/S0005109821006245“,”any_repository_has_fulltext“:false},”authorships“:[{”author_position“:”第一“,”作者“:{”id“:”https://openalex.org/A5035419154“,”display_name“:”Kushal Chakrabarti“,”orcid“:”https://orcid.org/0000-0002-6747-8709},“机构”:[{“id”:https://openalex.org/I66946132“,”display_name“:”马里兰大学,学院公园“,”ror“:”https://ror.org/047s2c258“,”country_code“:”美国“,”类型“:”教育“,”血统“:[”https://openalex.org/I66946132“]}],”国家“:[”美国“],”is_corresponding“:true,”raw_author_name“:”Kushal Chakrabarti“,”raw _ affiliation_strings“:[“马里兰大学,马里兰大学公园,美国马里兰州20742”],”affiliation“:[{”raw _affiliation_string“:”马里兰大学校园公园,美国马里兰20742https://openalex.org/I66946132“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5054849639“,”display_name“:”Nirupam Gupta“,”orcid“:”https://orcid.org/0000-0003-4252-9319},“机构”:[{“id”:https://openalex.org/I5124864“,”display_name“:”\u00c9cole Polytechnology F\u00e9d\u00e9洛桑罗勒“,”ror“:”https://ror.org/02s376052“,”country_code“:”CH“,”type“:“教育”,”世系“:[”https://openalex.org/I2799323385","https://openalex.org/I5124864“]}],”国家“:[”CH“],”is_corresponding“:false,”raw_author_name“:”Nirupam Gupta“,”raw _affiliation_strings“:[“\u00c9cole Polytechnology F\u00e9d\u00e9德洛桑(EPFL)CH-1015瑞士洛桑”],“affiliations”:[{“raw_affiliation _string”:“\u00 c9cole9德洛桑(EP佛罗里达))瑞士洛桑CH-1015“,”机构ID“:[”https://openalex.org/I5124864“]}]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5033439822“,”display_name“:”Nikhil Chopra“,”orcid“:”https://orcid.org/00000-0002-5365-293X},“机构”:[{“id”:https://openalex.org/I66946132“,”display_name“:”马里兰大学,学院公园“,”ror“:”https://ror.org/047s2c258“,”country_code“:”美国“,”类型“:”教育“,”血统“:[”https://openalex.org/I66946132“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”Nikhil Chopra“,”raw _ afiliation_strings“:[“马里兰大学,马里兰大学公园,美国马里兰州20742”],”affiliations“:[{”raw_ afiliation _string“:”马里兰大学大学公园,马里兰20742,美国”,“institution_ids”:[“https://openalex.org/I66946132“]}]}],”institution_assertions“:[],”countries_distiction_count“:2,”institutions_disticent_count”:2,“corresponding_author_ids”:[“https://openalex.org/A5035419154“],”对应的机构ID“:[”https://openalex.org/I66946132“],”apc_list“:{“value”:3500,”currency“:”USD“,”value_USD“:3500,“provenance”:“doaj”},“apc_payed”:null,“fwci”:1.01,“has_fulltext”:false,“cited_by_count”:4,“citation_normalized_percentile”:{”value“:0.999904,”is_in_top_1_percent“:true,”is_Int_top_10_percents“:true},”cited_by_percentile_year“:{”min“:77,“max”:80},“biblio”:{“volume”:“137”,“issue”:nullfirst_page“:”110095“,”last_page“:”110095“},”is_retracted“:false,”is_paratext“:fase,”primary_topic“:{”id“:”https://openalex.org/T10500“,”display_name“:”压缩传感理论与应用“,”score“:0.999,”subfield“:{”id“:”https://openalex.org/subfields/2206“,”display_name“:”计算力学“},”字段“:{”id“:”https://openalex.org/fields/22“,”display_name“:”Engineering“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T10500“,”display_name“:”压缩传感理论与应用“,”score“:0.999,”subfield“:{”id“:”https://openalex.org/subfields/2206“,”display_name“:”计算力学“},”字段“:{”id“:”https://openalex.org/fields/22“,”display_name“:”Engineering“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T11612“,”“display_name”:“机器学习中的优化方法”,“score”:0.9987,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T10764“,”“display_name”:“数据分析和机器学习的隐私保护技术”,“score”:0.9973,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/expeding“,”display_name“:”催交“,”score“:0.5565561},{”id“:”https://openalex.org/keywords/stochastic-gradient-decension(https://openalex.org/keywords/stochastic-gradient-decension)“,”display_name“:”随机梯度下降“,”score“:0.543479}],”concepts“:[{”id“:”https://openalex.org/C126255220,“wikidata”:https://www.wikidata.org/wiki/Q141495“,”display_name“:”数学优化“,”level“:1,”score“:0.6193418},{”id“:”https://openalex.org/C153258448,“wikidata”:https://www.wikidata.org/wiki/Q1199743“,”display_name“:”渐变下降“,”level“:3,”score“:0.60736525},{”id“:”https://openalex.org/C134448949,“wikidata”:https://www.wikidata.org/wiki/Q1384274“,”display_name“:”Expediting“,”level“:2,”score“:0.5565561},{”id“:”https://openalex.org/C11413529,“wikidata”:https://www.wikidata.org/wiki/Q8366“,”display_name“:”Algorithm“,”level“:1,”score“:0.47323784},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.4663723},{”id“:”https://openalex.org/C2777303404,“wikidata”:https://www.wikidata.org/wiki/Q759757“,”display_name“:”Convergence(economics)“,”level“:2,”score“:0.44936597},{”id“:”https://openalex.org/C57869625,“wikidata”:https://www.wikidata.org/wiki/Q1783502“,”display_name“:”收敛速度“,”level“:3,”score“:0.4316434},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395网址“,”display_name“:”数学“,”等级“:0,”分数“:0.42059284},{”id“:”https://openalex.org/C159694833,“wikidata”:https://www.wikidata.org/wiki/Q2321565“,”display_name“:”迭代方法“,”level“:2,”score“:0.41646704},{”id“:”https://openalex.org/C50644808,“wikidata”:https://www.wikidata.org/wiki/Q192776“,”display_name“:”人工神经网络“,”level“:2,”score“:0.16191259},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.11859316},{”id“:”https://openalex.org/C127162648,“wikidata”:https://www.wikidata.org/wiki/Q16858953“,”display_name“:”频道(广播)“,”级别“:2,”分数“:0.11397913},{”id“:”https://openalex.org/C201995342,“wikidata”:https://www.wikidata.org/wiki/Q682496“,”display_name“:”系统工程“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C127413603,“wikidata”:https://www.wikidata.org/wiki/Q11023“,”display_name“:”工程“,”级别“:0,”分数“:0.0},{”id“:”https://openalex.org/C50522688,“wikidata”:https://www.wikidata.org/wiki/Q189833“,”display_name“:”经济增长“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C31258907,“wikidata”:https://www.wikidata.org/wiki/Q1301371“,”display_name“:”计算机网络“,”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,”location“:[{”is_oa“:true,”landing_page_url“:”https://doi.org/10.1016/j.automatica.2021.110095,“pdf_url”:https://www.sciencedirect.com/science/article/am/pii/S0005109821006245,“源”:{“id”:https://openalex.org/S51360982“,”display_name“:”Automatica“,”issn_l“:”0005-1098“,”isn“:[”0005-1088“,“1873-2836”],”is_oa“:false,”is-in_doaj“:false,”is_core“:true,”host_organization“:”https://openalex.org/P4310320990“,”“host_organization_name”:“Elsevier BV”,“host_organization_lineage”:[“https://openalex.org/P4310320990“],”host_organization_lineage_names“:[”Elsevier BV“],“type”:“journal”},“license”:“publisher-specific-oa”,“licence_id”:“https://openalex.org/licenses/publisher-specific-oa“,”version“:”acceptedVersion“,”is_accepted“:true,”is_published“:false}],”best_oa_location“:{”is_oa“:true,”landing_page_url“:”https://doi.org/10.1016/j.automatica.2021.110095,“pdf_url”:https://www.sciencedirect.com/science/article/am/pii/S0005109821006245,“源”:{“id”:https://openalex.org/S51360982“,”display_name“:”Automatica“,”issn_l“:”0005-1098“,”isn“:[”0005-1088“,“1873-2836”],”is_oa“:false,”is-in_doaj“:false,”is_core“:true,”host_organization“:”https://openalex.org/P4310320990“,”“host_organization_name”:“Elsevier BV”,“host_organization_lineage”:[“https://openalex.org/P4310320990“],”host_organization_lineage_names“:[”Elsevier BV“],“type”:“journal”},“license”:“publisher-specific-oa”,“licence_id”:“https://openalex.org/licenses/publisher-specific-oa“,”version“:”acceptedVersion“,”is_accepted“:true,”is_published“:false},”sustainable_development_goals“:[],”grants“:[],”datasets“:],”versions“:[https://openalex.org/W1603765807","https://openalex.org/W1988277750","https://openalex.org/W1988720110","https://openalex.org/W2123224804","https://openalex.org/W2612690371","https://openalex.org/W2912213068","https://openalex.org/W2936995161","https://openalex.org/W2948566442","https://openalex.org/W2951248065","https://openalex.org/W2963007855","https://openalex.org/W2964102336","https://openalex.org/W3046107682","https://openalex.org/W3048145076","https://openalex.org/W3102615927","https://openalex.org/W3110756142","https://openalex.org/W3205975889","https://openalex.org/W4300448178“],”related_works“:[”https://openalex.org/W4389741222","https://openalex.org/W2351377961","https://openalex.org/W2170408898","https://openalex.org/W2164136545","https://openalex.org/W2086942802","https://openalex.org/W2085395339","https://openalex.org/W2071999521","https://openalex.org/W2046073294","https://openalex.org/W2024632604","https://openalex.org/W1942228078“],”abstract_inverted_index“:{”This“:[0],”paper“:[1],”considers“:[2],”the“:[3,51,64,73,76,81,87,92111120124128132160163168172175184],”multi-agent“:[4],”linear“:[5,46],”least-squares“:[6176192],”problem“:[7,69177],”in“:[8136156],”a“:[9,20,31,45,96],”server\u2013agent“:[10,77],“网络”:[11,78],“架构”:[12],““:[13,26,39,54],”系统“:[14],”包括“:[15],”多个“:[16],”代理,“:[17,55],”每个“:[18],”与“:[19,72150],”集“:[21],”的“:[22,80,99114123154174],”本地“:[23],”数据“:[24,60,88116],”点。“:[25,61],”代理“:[27,65],”are“:[28,90],”connected“:[29],”to“:[30,43101109158183],”server“:[32],”and“:[33162199],”there“:[34],”is“:[35,42178],”no“:[36],”inter-agent“:[37],”communication。“:[38],”代理人“:[40],”目标“:[41],”计算“:[44],”模型“:[47],”那“:[48144],”最佳“:[49],”适合“:[50],”集体“:[52],”数据。“:[53],”“然而,”“:[56],”不能“:[57],”共享“:[58],”他们的“:[59],”In“:[62],”原则,“:[63],”can“:[66],”求解“:[67],”this“:[68],”by“:[70],”协作“:[71],”服务器“:[74],”using“:[75],”variant“:[79],”经典“:[82161],”渐变“:[83,93125165],”方法。“:[84126],”“然而,”“:[85],”when“:[86171],”points“:[89],”ill-conditioned“:[91],”method“:[94],”requires“:[95],”large“:[97],”number“:[98],”iterations“:[100],”converge.“:[102],”We“:[103142],”propose“:[104],”an“:[105151],”迭代“:[106],”pre-conditioning“:[107130],”technology“:[108139],”release“:[110],”有害“:[112],”影响“:[113],”点“:[117],“条件”:[118],“on”:[119190],“收敛”:[121155],“速率”:[12253],“不同”:[127],“常规”:[129],“技术”,:[131],“预条件”:%133],“矩阵”:[134],“使用”:[135],“我们的”:[137145180196202],“提议的”:%138146],“进化”:[140],“迭代。“:[141],”show“:[143],”algorithm“:[147181],”converges“:[148182],”linear“:[149],”improved“:[152204],”comparison“:[157],”both“:[159],”accelerated“:[164],”methods。“:[166],”对于“:[167],”特殊“:[169],”案例“:[170],”解决方案“:[173185],”唯一“:[179],”超线性。“:[186],“通过”:[187],“数值”:[188],“实验”:[189],“基准”:[191],“问题”:[193],“我们”:[194],“验证”:[195],“理论”:[197],“发现”:[198],“也”:[200],“证明”:[201],“算法”:[203],“鲁棒性”:[205],“对抗”:[206],“过程”:[207],“噪声”。“:[208]},”引用_by_api_url“:”https://api.openalex.org/works?filter=cites:W4200078897”,“counts_by_year”:[{“year”:2024,“cited_by_count”:1},{“year”:2023,“cited_by_count”:2},{“year”:2022,“cited_by_count”:1}],“updated_date”:“2024-09-18T17:58:42.371101”,“created_date”:“2021-12-31”}