{"id":"https://openalex.org/W4406523059","doi":"https://doi.org/10.1109/lsp.2025.3531200","title":"Conjugate Gradient and Variance Reduction Based Online ADMM for Low-Rank Distributed Networks","display_name":"Conjugate Gradient and Variance Reduction Based Online ADMM for Low-Rank Distributed Networks","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406523059","doi":"https://doi.org/10.1109/lsp.2025.3531200"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3531200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3531200","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5053774112","display_name":"Yitong Chen","orcid":"https://orcid.org/0000-0002-2577-2897"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yitong Chen","raw_affiliation_strings":["Centre of Intelligent Acoustics and Immersive Communications, School of Marine Science and Technology, Northwestern Polytechnical University, Xi&#x0027;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Intelligent Acoustics and Immersive Communications, School of Marine Science and Technology, Northwestern Polytechnical University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082577449","display_name":"Danqi Jin","orcid":"https://orcid.org/0000-0001-9435-2231"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danqi Jin","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9435-2231","affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333004","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0003-2306-8860"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Chen","raw_affiliation_strings":["Centre of Intelligent Acoustics and Immersive Communications, School of Marine Science and Technology, Northwestern Polytechnical University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0003-2306-8860","affiliations":[{"raw_affiliation_string":"Centre of Intelligent Acoustics and Immersive Communications, School of Marine Science and Technology, Northwestern Polytechnical University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009808175","display_name":"C\u00e9dric Richard","orcid":"https://orcid.org/0000-0003-2890-141X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"C\u00e9dric Richard","raw_affiliation_strings":["OCA, CNRS, Universit&#x00E9; C&#x00F4;te d&#x0027;Azur, Nice, France"],"raw_orcid":"https://orcid.org/0000-0003-2890-141X","affiliations":[{"raw_affiliation_string":"OCA, CNRS, Universit&#x00E9; C&#x00F4;te d&#x0027;Azur, Nice, France","institution_ids":["https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059258204","display_name":"Wen Zhang","orcid":"https://orcid.org/0000-0002-0752-6123"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Zhang","raw_affiliation_strings":["Centre of Intelligent Acoustics and Immersive Communications, School of Marine Science and Technology, Northwestern Polytechnical University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-0752-6123","affiliations":[{"raw_affiliation_string":"Centre of Intelligent Acoustics and Immersive Communications, School of Marine Science and Technology, Northwestern Polytechnical University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.273,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.93031359,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"32","issue":null,"first_page":"706","last_page":"710"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/variance-reduction","display_name":"Variance reduction","score":0.6887244582176208},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.682644784450531},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6018248796463013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6005004644393921},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5282962322235107},{"id":"https://openalex.org/keywords/conjugate-gradient-method","display_name":"Conjugate gradient method","score":0.5268736481666565},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3356436491012573},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.308487206697464},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2781675457954407},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11074647307395935}],"concepts":[{"id":"https://openalex.org/C62644790","wikidata":"https://www.wikidata.org/wiki/Q3454689","display_name":"Variance reduction","level":3,"score":0.6887244582176208},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.682644784450531},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6018248796463013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6005004644393921},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5282962322235107},{"id":"https://openalex.org/C81184566","wikidata":"https://www.wikidata.org/wiki/Q1191895","display_name":"Conjugate gradient method","level":2,"score":0.5268736481666565},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3356436491012573},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.308487206697464},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2781675457954407},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11074647307395935},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2025.3531200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3531200","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-05539878v1","is_oa":false,"landing_page_url":"https://hal.science/hal-05539878","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Signal Processing Letters, 2025, 32, pp.706-710. &#x27E8;10.1109/LSP.2025.3531200&#x27E9;","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2113015678","display_name":"3IA C\u00f4te d'Azur","funder_award_id":"ANR-19-P3IA-0002","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G4622970671","display_name":"3IA C\u00f4te d'Azur 2030","funder_award_id":"ANR-23-IACL-0001","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G7302324134","display_name":"Distributed adaptation and learning over graph signals","funder_award_id":"ANR-19-CE48-0002","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1880403203","https://openalex.org/W1971179133","https://openalex.org/W2012445782","https://openalex.org/W2024747714","https://openalex.org/W2093795816","https://openalex.org/W2098841537","https://openalex.org/W2110531331","https://openalex.org/W2115554270","https://openalex.org/W2164278908","https://openalex.org/W2189538311","https://openalex.org/W2323117027","https://openalex.org/W2505029951","https://openalex.org/W2530728613","https://openalex.org/W2589814220","https://openalex.org/W2740968102","https://openalex.org/W2752077201","https://openalex.org/W2809216150","https://openalex.org/W2883507156","https://openalex.org/W2922149760","https://openalex.org/W2962791795","https://openalex.org/W2962907301","https://openalex.org/W2963157432","https://openalex.org/W2964035368","https://openalex.org/W3004184337","https://openalex.org/W3007376870","https://openalex.org/W3015521405","https://openalex.org/W3083035255","https://openalex.org/W3097646105","https://openalex.org/W3102776384","https://openalex.org/W3108931554","https://openalex.org/W3118340616","https://openalex.org/W3121070394","https://openalex.org/W3138439374","https://openalex.org/W3162958477","https://openalex.org/W3168931281","https://openalex.org/W3195549372","https://openalex.org/W4206519735","https://openalex.org/W4225296453","https://openalex.org/W4392122255","https://openalex.org/W4404340627","https://openalex.org/W4404609508","https://openalex.org/W4406142275","https://openalex.org/W4406858837","https://openalex.org/W6674632333","https://openalex.org/W6676105031","https://openalex.org/W6680196509","https://openalex.org/W6767124508","https://openalex.org/W6767396694","https://openalex.org/W6873361190"],"related_works":["https://openalex.org/W2544771389","https://openalex.org/W2034060070","https://openalex.org/W2169816622","https://openalex.org/W2298254442","https://openalex.org/W1997242758","https://openalex.org/W2169367269","https://openalex.org/W2951368390","https://openalex.org/W2291558465","https://openalex.org/W1981992409","https://openalex.org/W2067529449"],"abstract_inverted_index":{"Modeling":[0],"the":[1,12,51,68,92,103,109,130,135,138],"relationships":[2],"that":[3,43],"may":[4],"connect":[5],"optimal":[6],"parameter":[7,15],"vectors":[8],"is":[9,95,127],"essential":[10],"for":[11],"performance":[13],"of":[14,72,137],"estimation":[16],"methods":[17],"in":[18,83],"distributed":[19,41],"networks.":[20],"In":[21],"this":[22,35],"paper,":[23],"we":[24,54],"consider":[25],"a":[26,40,123],"low-rank":[27,36,52],"relationship":[28],"and":[29],"introduce":[30],"matrix":[31,116],"factorization":[32],"to":[33,114],"promote":[34],"property.":[37],"To":[38,119],"devise":[39],"algorithm":[42,126],"does":[44],"not":[45],"require":[46],"any":[47],"prior":[48],"knowledge":[49],"about":[50],"space,":[53],"first":[55,93],"formulate":[56],"local":[57],"optimization":[58],"problems":[59],"at":[60],"each":[61,81],"node,":[62],"which":[63],"are":[64,106],"subsequently":[65],"addressed":[66],"using":[67,97,108],"Alternating":[69],"Direction":[70],"Method":[71],"Multipliers":[73],"(ADMM).":[74],"Three":[75],"subproblems":[76],"naturally":[77],"arise":[78],"from":[79],"ADMM,":[80],"resolved":[82],"an":[84],"online":[85],"manner":[86],"with":[87],"low":[88],"computational":[89],"costs.":[90],"Specifically,":[91],"one":[94],"solved":[96],"stochastic":[98],"gradient":[99,111],"descent":[100,112],"(SGD),":[101],"while":[102],"other":[104],"two":[105],"handled":[107],"conjugate":[110],"method":[113],"avoid":[115],"inversion":[117],"operations.":[118],"further":[120],"enhance":[121],"performance,":[122],"variance":[124],"reduction":[125],"incorporated":[128],"into":[129],"SGD.":[131],"Simulation":[132],"results":[133],"validate":[134],"effectiveness":[136],"proposed":[139],"algorithm.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
