{"id":"https://openalex.org/W3006891325","doi":"https://doi.org/10.1109/access.2020.2977249","title":"An Aggregative High-Order Singular Value Decomposition Method in Edge Computing","display_name":"An Aggregative High-Order Singular Value Decomposition Method in Edge Computing","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3006891325","doi":"https://doi.org/10.1109/access.2020.2977249","mag":"3006891325"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2977249","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2977249","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09018094.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09018094.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100636765","display_name":"Junhua Chen","orcid":"https://orcid.org/0000-0002-7688-6851"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junhua Chen","raw_affiliation_strings":["College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","Key Laboratory of Industrial Internet of Things and Networked Control, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-7688-6851","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"Key Laboratory of Industrial Internet of Things and Networked Control, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413042","display_name":"Ping Wang","orcid":"https://orcid.org/0000-0002-1211-4190"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Wang","raw_affiliation_strings":["Key Laboratory of Industrial Internet of Things and Networked Control, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Industrial Internet of Things and Networked Control, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083752026","display_name":"Chenggen Pu","orcid":"https://orcid.org/0000-0002-1272-1871"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenggen Pu","raw_affiliation_strings":["College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","Key Laboratory of Industrial Internet of Things and Networked Control, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-1272-1871","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"Key Laboratory of Industrial Internet of Things and Networked Control, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019169850","display_name":"Qingqing Huang","orcid":"https://orcid.org/0000-0002-8298-5418"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingqing Huang","raw_affiliation_strings":["Key Laboratory of Industrial Internet of Things and Networked Control, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Industrial Internet of Things and Networked Control, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100636765"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03562654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"44019","last_page":"44030"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9509000182151794,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13650","display_name":"Computational Physics and Python Applications","score":0.942300021648407,"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/singular-value-decomposition","display_name":"Singular value decomposition","score":0.7415753602981567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6736237406730652},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5930390357971191},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5284927487373352},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5059830546379089},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3209100365638733},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25237542390823364}],"concepts":[{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7415753602981567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6736237406730652},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5930390357971191},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5284927487373352},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5059830546379089},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3209100365638733},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25237542390823364},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2977249","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2977249","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09018094.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:17990997bb624fcfb513853b17a56194","is_oa":true,"landing_page_url":"https://doaj.org/article/17990997bb624fcfb513853b17a56194","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 44019-44030 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2977249","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2977249","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09018094.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7926971320","display_name":null,"funder_award_id":"2017YFE0123000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8709261948","display_name":null,"funder_award_id":"51605065","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3006891325.pdf","grobid_xml":"https://content.openalex.org/works/W3006891325.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W633227308","https://openalex.org/W1989881099","https://openalex.org/W2000045479","https://openalex.org/W2011775600","https://openalex.org/W2013912476","https://openalex.org/W2018067627","https://openalex.org/W2024165284","https://openalex.org/W2075427932","https://openalex.org/W2077071943","https://openalex.org/W2078841894","https://openalex.org/W2110121428","https://openalex.org/W2114296561","https://openalex.org/W2128728535","https://openalex.org/W2134251598","https://openalex.org/W2134295053","https://openalex.org/W2140839682","https://openalex.org/W2416799949","https://openalex.org/W2469230926","https://openalex.org/W2528907418","https://openalex.org/W2596636257","https://openalex.org/W2769499470","https://openalex.org/W2770198223","https://openalex.org/W2786027963","https://openalex.org/W2786070938","https://openalex.org/W2791529266","https://openalex.org/W2798244929","https://openalex.org/W2802552971","https://openalex.org/W2805182940","https://openalex.org/W2904773330","https://openalex.org/W3001393655","https://openalex.org/W4241733188","https://openalex.org/W4292543836","https://openalex.org/W4312258136"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W4292636185","https://openalex.org/W2050785904","https://openalex.org/W2136348949","https://openalex.org/W4210544666","https://openalex.org/W4401571858","https://openalex.org/W2962732538"],"abstract_inverted_index":{"In":[0,59],"edge":[1,11,39],"computing,":[2],"for":[3],"dimensionality":[4],"reduction":[5],"and":[6,15,112,142,147,152],"core":[7],"data":[8,28],"extraction,":[9],"both":[10],"computing":[12,33,40,81],"node":[13],"(ECN)":[14],"cloud":[16,89],"server":[17],"may":[18],"implement":[19],"a":[20],"high-order":[21],"singular":[22,96],"value":[23,97],"decomposition":[24,98],"(HOSVD)":[25],"algorithm":[26,107,111,116,161,168],"before":[27],"are":[29,100,117,150],"passed":[30],"to":[31,53,77,119],"local":[32],"models.":[34],"However,":[35],"at":[36],"present,":[37],"many":[38],"systems":[41],"regard":[42],"the":[43,57,79,84,88,103,121,125,131,137,140,145,148,153,158,166,176],"two":[44,48,92],"HOSVD":[45,66,74,80,114,122,146,167,177],"procedures":[46],"as":[47],"independent":[49],"parts,":[50],"which":[51],"leads":[52],"repeated":[54],"calculations":[55],"in":[56,75,87,169],"cloud.":[58],"this":[60],"paper,":[61],"we":[62],"propose":[63],"an":[64],"aggregative":[65,113],"method":[67],"by":[68,128],"reusing":[69],"intermediate":[70],"results":[71,135,155,174],"of":[72,83,95,124,136],"subtensor":[73],"ECNs":[76],"reduce":[78],"cost":[82],"merged":[85,126],"tensor":[86,127],"server.":[90],"First,":[91],"equivalence":[93],"lemmas":[94],"(SVD)":[99],"proven.":[101],"Second,":[102],"SVD":[104,134],"left":[105],"mergence":[106],"(SVDLM),":[108],"hierarchical-SVDLM":[109],"(H-SVDLM)":[110],"(AHOSVD)":[115],"proposed":[118,159],"obtain":[120],"result":[123],"efficiently":[129],"merging":[130],"unfolded":[132],"matrix":[133],"subtensors.":[138],"Finally,":[139],"efficiency":[141,163],"accuracy":[143,173],"between":[144],"AHOSVD":[149,160],"compared,":[151],"experimental":[154],"validate":[156],"that":[157],"improves":[162],"compared":[164],"with":[165,171,175],"circumstances":[170],"comparable":[172],"algorithm.":[178]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
