{"id":"https://openalex.org/W2979489348","doi":"https://doi.org/10.1007/s10994-019-05847-6","title":"Communication-efficient distributed multi-task learning with matrix sparsity regularization","display_name":"Communication-efficient distributed multi-task learning with matrix sparsity regularization","publication_year":2019,"publication_date":"2019-10-07","ids":{"openalex":"https://openalex.org/W2979489348","doi":"https://doi.org/10.1007/s10994-019-05847-6","mag":"2979489348"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-019-05847-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-019-05847-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-019-05847-6.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-019-05847-6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020198396","display_name":"Qiang Zhou","orcid":"https://orcid.org/0000-0002-6494-6730"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Qiang Zhou","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101471402","display_name":"Yu Chen","orcid":"https://orcid.org/0000-0002-2429-3704"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yu Chen","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082984558","display_name":"Sinno Jialin Pan","orcid":"https://orcid.org/0000-0001-6565-3836"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Sinno Jialin Pan","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5082984558"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.5186,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59387687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"109","issue":"3","first_page":"569","last_page":"601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12676","display_name":"Machine Learning and ELM","score":0.9983999729156494,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7799668908119202},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.7776281833648682},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.5839627981185913},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5679553151130676},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5052500367164612},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.4927230179309845},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45965853333473206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.429179847240448},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42307019233703613},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36081892251968384},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31451359391212463},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1414528489112854},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.12293043732643127}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7799668908119202},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7776281833648682},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.5839627981185913},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5679553151130676},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5052500367164612},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.4927230179309845},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45965853333473206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.429179847240448},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42307019233703613},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36081892251968384},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31451359391212463},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1414528489112854},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.12293043732643127},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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":1,"locations":[{"id":"doi:10.1007/s10994-019-05847-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-019-05847-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-019-05847-6.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10994-019-05847-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-019-05847-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-019-05847-6.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8771026661","display_name":null,"funder_award_id":"M4081532.020","funder_id":"https://openalex.org/F4320320766","funder_display_name":"Nanyang Technological University"}],"funders":[{"id":"https://openalex.org/F4320320766","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2979489348.pdf","grobid_xml":"https://content.openalex.org/works/W2979489348.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1131221467","https://openalex.org/W1493526108","https://openalex.org/W1518479949","https://openalex.org/W1648933886","https://openalex.org/W1757098471","https://openalex.org/W1885499468","https://openalex.org/W1939652453","https://openalex.org/W1946315329","https://openalex.org/W1948582444","https://openalex.org/W2110091014","https://openalex.org/W2116974465","https://openalex.org/W2122825543","https://openalex.org/W2125536150","https://openalex.org/W2127941149","https://openalex.org/W2138019504","https://openalex.org/W2143021454","https://openalex.org/W2156200251","https://openalex.org/W2159514083","https://openalex.org/W2164278908","https://openalex.org/W2287826714","https://openalex.org/W2336051946","https://openalex.org/W2383193739","https://openalex.org/W2539283139","https://openalex.org/W2549852765","https://openalex.org/W2556660792","https://openalex.org/W2562969225","https://openalex.org/W2579247884","https://openalex.org/W2618494520","https://openalex.org/W2742079690","https://openalex.org/W2742912327","https://openalex.org/W2758918273","https://openalex.org/W2765199729","https://openalex.org/W2787717425","https://openalex.org/W2787878670","https://openalex.org/W2913340405","https://openalex.org/W2949758382","https://openalex.org/W2949908569","https://openalex.org/W2952347266","https://openalex.org/W2952964295","https://openalex.org/W2962741697","https://openalex.org/W2962939576","https://openalex.org/W2963191611","https://openalex.org/W2963314896","https://openalex.org/W2963839817","https://openalex.org/W2964121793","https://openalex.org/W3003775594","https://openalex.org/W3098453412","https://openalex.org/W3141595720","https://openalex.org/W4247489173","https://openalex.org/W4285719527","https://openalex.org/W4292363360","https://openalex.org/W6676587327","https://openalex.org/W6677554754","https://openalex.org/W6689726706","https://openalex.org/W6738383168","https://openalex.org/W6742058293","https://openalex.org/W7034108470","https://openalex.org/W7074184022"],"related_works":["https://openalex.org/W4254199101","https://openalex.org/W1670153145","https://openalex.org/W4236907339","https://openalex.org/W4300427796","https://openalex.org/W4287196534","https://openalex.org/W2051864124","https://openalex.org/W3023929447","https://openalex.org/W3172664294","https://openalex.org/W4285601468","https://openalex.org/W2790129348"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}