{"id":"https://openalex.org/W4406267511","doi":"https://doi.org/10.1109/icnsc62968.2024.10759927","title":"Accelerated Asynchronous Parallel Stochastic Gradient Descent Algorithm for High-Dimensional and Sparse Data Low-rank Representation","display_name":"Accelerated Asynchronous Parallel Stochastic Gradient Descent Algorithm for High-Dimensional and Sparse Data Low-rank Representation","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4406267511","doi":"https://doi.org/10.1109/icnsc62968.2024.10759927"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc62968.2024.10759927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc62968.2024.10759927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5113379255","display_name":"Qicong Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qicong Hu","raw_affiliation_strings":["College of Computer and Information Science, Southwest University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107874398","display_name":"Hao Wu","orcid":"https://orcid.org/0009-0004-2341-4764"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wu","raw_affiliation_strings":["College of Computer and Information Science, Southwest University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/asynchronous-communication","display_name":"Asynchronous communication","score":0.7743937969207764},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.727346658706665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6823463439941406},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6751196384429932},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6017603874206543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5858566164970398},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5750492811203003},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5043531656265259},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24378201365470886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1947782337665558},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0988733172416687}],"concepts":[{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.7743937969207764},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.727346658706665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6823463439941406},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6751196384429932},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6017603874206543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5858566164970398},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5750492811203003},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5043531656265259},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24378201365470886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1947782337665558},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0988733172416687},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc62968.2024.10759927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc62968.2024.10759927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4206903459","https://openalex.org/W4283028824","https://openalex.org/W2754816816","https://openalex.org/W4366280654","https://openalex.org/W3160167280","https://openalex.org/W4231621013","https://openalex.org/W4362706668","https://openalex.org/W3008318776","https://openalex.org/W1977633006","https://openalex.org/W1971945429"],"abstract_inverted_index":{"Data":[0,77],"characterized":[1],"by":[2],"high":[3],"dimensionality":[4],"and":[5,21,29,48,75,144],"sparsity":[6],"are":[7,45],"commonly":[8],"used":[9],"to":[10,25,88,91,121],"describe":[11],"real-world":[12],"node":[13,31],"interactions.":[14],"Low-rank":[15,78],"representation":[16],"(LR)":[17],"can":[18],"map":[19],"high-dimensional":[20],"sparse":[22],"(HDS)":[23],"data":[24,35,139],"low-dimensional":[26],"feature":[27],"spaces":[28],"infer":[30],"interactions":[32],"via":[33],"modeling":[34],"latent":[36],"associations.":[37],"Unfortunately,":[38],"existing":[39,134],"optimization":[40,135],"algorithms":[41,136],"for":[42,73,105,137],"LR":[43,140],"models":[44],"computationally":[46],"inefficient":[47],"slowly":[49],"convergent":[50],"on":[51],"large-scale":[52],"datasets.":[53],"To":[54],"address":[55],"this":[56,58],"issue,":[57],"paper":[59],"proposes":[60],"an":[61],"Accelerated":[62],"Asynchronous":[63],"Parallel":[64],"Stochastic":[65],"Gradient":[66],"Descent":[67],"(A<sup":[68],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[69,130],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[70,131],"PSGD)":[71],"Algorithm":[72],"High-Dimensional":[74],"Sparse":[76],"Representation":[79],"with":[80],"three":[81],"fold-ideas:":[82],"a)":[83],"establishing":[84],"a":[85,99],"lock-free":[86],"scheduler":[87],"simultaneously":[89],"respond":[90],"scheduling":[92],"requests":[93],"from":[94],"multiple":[95],"threads;":[96,111],"b)":[97],"introducing":[98],"greedy":[100],"algorithm-based":[101],"load":[102,109],"balancing":[103,106],"strategy":[104],"the":[107,118],"computational":[108],"among":[110],"c)":[112],"incorporating":[113],"Nesterov's":[114],"accelerated":[115],"gradient":[116],"into":[117],"learning":[119],"scheme":[120],"accelerate":[122],"model":[123],"convergence.":[124],"Empirical":[125],"studies":[126],"show":[127],"that":[128],"A<sup":[129],"PSGD":[132],"outperforms":[133],"HDS":[138],"in":[141],"both":[142],"accuracy":[143],"training":[145],"time.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}