{"id":"https://openalex.org/W2473017500","doi":"https://doi.org/10.1109/tie.2016.2588463","title":"Distributed Learning of Predictive Structures From Multiple Tasks Over Networks","display_name":"Distributed Learning of Predictive Structures From Multiple Tasks Over Networks","publication_year":2016,"publication_date":"2016-07-07","ids":{"openalex":"https://openalex.org/W2473017500","doi":"https://doi.org/10.1109/tie.2016.2588463","mag":"2473017500"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2016.2588463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2016.2588463","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Transactions on Industrial Electronics","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/A5040935864","display_name":"Junhao Hua","orcid":"https://orcid.org/0000-0003-4072-5957"},"institutions":[{"id":"https://openalex.org/I4210141176","display_name":"Communication University of Zhejiang","ror":"https://ror.org/04t7gxr16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141176"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhao Hua","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University","Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking, Hangzhou, China","institution_ids":["https://openalex.org/I4210141176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654349","display_name":"Chunguang Li","orcid":"https://orcid.org/0000-0003-3147-1553"},"institutions":[{"id":"https://openalex.org/I4210141176","display_name":"Communication University of Zhejiang","ror":"https://ror.org/04t7gxr16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141176"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunguang Li","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University","Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking, Hangzhou, China","institution_ids":["https://openalex.org/I4210141176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020795553","display_name":"Hui\u2010Liang Shen","orcid":"https://orcid.org/0000-0001-8469-019X"},"institutions":[{"id":"https://openalex.org/I4210141176","display_name":"Communication University of Zhejiang","ror":"https://ror.org/04t7gxr16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141176"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui-Liang Shen","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University","Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking, Hangzhou, China","institution_ids":["https://openalex.org/I4210141176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3888,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.87293948,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"64","issue":"5","first_page":"4246","last_page":"4256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9977999925613403,"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":0.9977999925613403,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9976999759674072,"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9957000017166138,"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":0.7075568437576294},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6566182374954224},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.6535679697990417},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.500730037689209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4712677001953125},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46773773431777954},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.464457243680954},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.45632365345954895},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.43891647458076477},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4146694540977478},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3676673173904419},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35129085183143616},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.18713906407356262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7075568437576294},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6566182374954224},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.6535679697990417},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.500730037689209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4712677001953125},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46773773431777954},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.464457243680954},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.45632365345954895},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.43891647458076477},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4146694540977478},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3676673173904419},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35129085183143616},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18713906407356262},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2016.2588463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2016.2588463","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Transactions on Industrial Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G2269282085","display_name":"\u4f20\u611f\u5668\u7f51\u7edc\u4e2d\u5206\u5e03\u5f0f\u9c81\u68d2\u4fe1\u606f\u8bba\u5b66\u4e60\u7814\u7a76","funder_award_id":"61571392","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6896812340","display_name":"\u4f20\u611f\u5668\u7f51\u7edc\u4e2d\u5206\u5e03\u5f0f\u76f2\u4fe1\u53f7\u4f30\u8ba1\u7814\u7a76","funder_award_id":"61471320","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G861614749","display_name":null,"funder_award_id":"2016QNA5004","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1969558191","https://openalex.org/W1986302543","https://openalex.org/W1993005965","https://openalex.org/W2047565655","https://openalex.org/W2057325524","https://openalex.org/W2065180801","https://openalex.org/W2088471253","https://openalex.org/W2093795816","https://openalex.org/W2110332320","https://openalex.org/W2117450598","https://openalex.org/W2118776392","https://openalex.org/W2120286056","https://openalex.org/W2122825543","https://openalex.org/W2124541940","https://openalex.org/W2127617367","https://openalex.org/W2130359405","https://openalex.org/W2130403046","https://openalex.org/W2130903752","https://openalex.org/W2151124278","https://openalex.org/W2153344006","https://openalex.org/W2159514083","https://openalex.org/W2160643434","https://openalex.org/W2162761269","https://openalex.org/W2164278908","https://openalex.org/W2170563643","https://openalex.org/W2245447372","https://openalex.org/W2610857016","https://openalex.org/W2798766386","https://openalex.org/W2962907301","https://openalex.org/W3104550706","https://openalex.org/W3141595720","https://openalex.org/W3160701863","https://openalex.org/W4229706427","https://openalex.org/W4255692904","https://openalex.org/W4292363360","https://openalex.org/W6679734692","https://openalex.org/W6684954448"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2117229703","https://openalex.org/W2364594919","https://openalex.org/W2167092671","https://openalex.org/W3120756218","https://openalex.org/W2395088808","https://openalex.org/W1861706286","https://openalex.org/W2139276415","https://openalex.org/W2219338811","https://openalex.org/W4206220619"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2,78,97,146],"concerned":[3],"with":[4,108],"the":[5,28,32,37,57,65,81,92,102,109,128,131,135,149,154,159,162,168,174,179],"problem":[6,35,96],"of":[7,27,44,59,114,130,161],"distributed":[8,33,87],"multitask":[9,34,151],"learning":[10,89,156],"over":[11],"networks,":[12],"which":[13,77],"aims":[14],"to":[15,126],"simultaneously":[16],"infer":[17],"multiple":[18],"node-specific":[19],"parameter":[20,45,60,66],"vectors":[21,46,61,67],"in":[22,47,84],"a":[23,69,141],"collaborative":[24],"manner.":[25],"Most":[26],"existing":[29],"works":[30],"on":[31,74,101,118],"modeled":[36],"task":[38],"relatedness":[39],"by":[40,62],"assuming":[41,63],"some":[42],"similarities":[43],"an":[48],"explicit":[49],"way.":[50],"In":[51,134],"this":[52],"paper,":[53],"we":[54],"implicitly":[55],"model":[56],"similarity":[58],"that":[64,137,148],"share":[68],"common":[70,142],"low-dimensional":[71],"predictive":[72,143],"structure":[73,88],"hypothesis":[75],"spaces,":[76],"learned":[79],"using":[80],"available":[82],"data":[83],"networks.":[85],"A":[86],"algorithm":[90,152],"for":[91],"in-network":[93],"cooperative":[94],"estimation":[95],"then":[98],"derived":[99],"based":[100],"block":[103],"coordinate":[104],"descent":[105],"method":[106,113],"integrated":[107],"inexact":[110,163],"alternating":[111],"direction":[112],"multipliers":[115],"technique.":[116],"Simulations":[117],"both":[119],"synthetic":[120],"and":[121,171],"real-world":[122],"datasets":[123],"are":[124],"given":[125],"verify":[127],"effectiveness":[129],"proposed":[132,150],"algorithm.":[133,157],"case":[136],"each":[138],"node":[139],"shares":[140],"subspace,":[144],"it":[145],"demonstrated":[147],"outperforms":[153],"noncooperative":[155],"Moreover,":[158],"use":[160],"approach":[164],"can":[165],"significantly":[166],"reduce":[167],"communication":[169],"bandwidth":[170],"still":[172],"provide":[173],"same":[175],"optimal":[176],"solution":[177],"as":[178],"corresponding":[180],"centralized":[181],"approach.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
