{"id":"https://openalex.org/W4406891934","doi":"https://doi.org/10.1109/tnnls.2025.3531784","title":"Sparsity-Aware Distributed Learning for Gaussian Processes With Linear Multiple Kernel","display_name":"Sparsity-Aware Distributed Learning for Gaussian Processes With Linear Multiple Kernel","publication_year":2025,"publication_date":"2025-01-28","ids":{"openalex":"https://openalex.org/W4406891934","doi":"https://doi.org/10.1109/tnnls.2025.3531784","pmid":"https://pubmed.ncbi.nlm.nih.gov/40031302"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3531784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3531784","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5050143971","display_name":"Richard Cornelius Suwandi","orcid":"https://orcid.org/0009-0001-7894-1674"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Richard Cornelius Suwandi","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0001-7894-1674","affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074292578","display_name":"Zhidi Lin","orcid":"https://orcid.org/0000-0002-6673-511X"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhidi Lin","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-6673-511X","affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696174","display_name":"Feng Yin","orcid":"https://orcid.org/0000-0001-5754-9246"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Yin","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5754-9246","affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430098","display_name":"Zhiguo Wang","orcid":"https://orcid.org/0000-0003-2604-3597"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Wang","raw_affiliation_strings":["Department of Mathematics, Sichuan University, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0003-2604-3597","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085953846","display_name":"Sergios Theodoridis","orcid":"https://orcid.org/0000-0001-5040-161X"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Sergios Theodoridis","raw_affiliation_strings":["Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athina, Greece"],"raw_orcid":"https://orcid.org/0000-0001-5040-161X","affiliations":[{"raw_affiliation_string":"Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athina, Greece","institution_ids":["https://openalex.org/I200777214"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050143971"],"corresponding_institution_ids":["https://openalex.org/I4210116924"],"apc_list":null,"apc_paid":null,"fwci":6.5198,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.9557285,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"36","issue":"8","first_page":"14869","last_page":"14883"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9987999796867371,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9750000238418579,"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"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.958899974822998,"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":0.5803796648979187},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5550553798675537},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4898540675640106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44225701689720154},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4309559166431427},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3607529401779175},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34034836292266846},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1416207253932953},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10680204629898071}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5803796648979187},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5550553798675537},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4898540675640106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44225701689720154},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4309559166431427},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3607529401779175},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34034836292266846},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1416207253932953},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10680204629898071},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2025.3531784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3531784","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40031302","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40031302","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2788325756","display_name":null,"funder_award_id":"JCYJ20220530143806016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G581357929","display_name":null,"funder_award_id":"RCJC20210609104448114","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7702920942","display_name":null,"funder_award_id":"62271433","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W225125108","https://openalex.org/W1549918636","https://openalex.org/W1972390760","https://openalex.org/W2064675550","https://openalex.org/W2085330455","https://openalex.org/W2097795807","https://openalex.org/W2099705786","https://openalex.org/W2105235982","https://openalex.org/W2148154358","https://openalex.org/W2170912685","https://openalex.org/W2178935672","https://openalex.org/W2246740633","https://openalex.org/W2295652899","https://openalex.org/W2508393166","https://openalex.org/W2803565980","https://openalex.org/W2912291331","https://openalex.org/W2912371381","https://openalex.org/W2912522929","https://openalex.org/W2940272946","https://openalex.org/W3000508506","https://openalex.org/W3015630033","https://openalex.org/W3033092361","https://openalex.org/W3047401137","https://openalex.org/W3097072081","https://openalex.org/W3177318507","https://openalex.org/W3193777527","https://openalex.org/W3216584063","https://openalex.org/W4211049957","https://openalex.org/W4226195457","https://openalex.org/W4242051702","https://openalex.org/W4250589301","https://openalex.org/W4281716507","https://openalex.org/W4292363360","https://openalex.org/W4293094173","https://openalex.org/W4321487874","https://openalex.org/W4362683553","https://openalex.org/W4372260267","https://openalex.org/W4375929150","https://openalex.org/W4385338569","https://openalex.org/W4394585964","https://openalex.org/W6605566567","https://openalex.org/W6629632285","https://openalex.org/W6676930901","https://openalex.org/W6679072756","https://openalex.org/W6681302627","https://openalex.org/W6737068246","https://openalex.org/W6742417552","https://openalex.org/W6779409229","https://openalex.org/W6846825190","https://openalex.org/W6851690559","https://openalex.org/W6856269248"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Gaussian":[0],"processes":[1],"(GPs)":[2],"stand":[3],"as":[4],"crucial":[5],"tools":[6],"in":[7],"machine":[8],"learning":[9,38,98,115,160],"and":[10,20,33,148,172],"signal":[11],"processing,":[12],"with":[13],"their":[14],"effectiveness":[15],"hinging":[16],"on":[17,164],"kernel":[18,31,52,79,97],"design":[19],"hyperparameter":[21,75,138],"optimization.":[22],"This":[23],"article":[24],"presents":[25],"a":[26,34,104,127],"novel":[27],"GP":[28],"linear":[29,95],"multiple":[30,96,117],"(LMK)":[32],"generic":[35],"sparsity-aware":[36],"distributed":[37,128],"framework":[39,102],"to":[40],"optimize":[41],"the":[42,60,73,85,89,93,120,141,159,168],"hyperparameters.":[43],"The":[44,101,152],"newly":[45],"proposed":[46,142,176],"grid":[47],"spectral":[48],"mixture":[49],"product":[50],"(GSMP)":[51],"is":[53,124],"tailored":[54],"for":[55,113,140,158],"multidimensional":[56],"data,":[57],"effectively":[58,135],"reducing":[59],"number":[61],"of":[62,77,88,109,174],"hyperparameters":[63],"while":[64,162],"maintaining":[65],"good":[66],"approximation":[67,131],"capability.":[68],"We":[69],"further":[70],"demonstrate":[71,167],"that":[72],"associated":[74],"optimization":[76,122,139],"this":[78],"yields":[80],"sparse":[81,94],"solutions.":[82],"To":[83],"exploit":[84],"inherent":[86],"sparsity":[87],"solutions,":[90],"we":[91],"introduce":[92],"(SLIM-KL)":[99],"framework.":[100],"incorporates":[103],"quantized":[105],"alternating":[106],"direction":[107],"method":[108],"multipliers":[110],"(ADMMs)":[111],"scheme":[112],"collaborative":[114],"among":[116],"agents,":[118],"where":[119],"local":[121],"problem":[123],"solved":[125],"using":[126],"successive":[129],"convex":[130],"(DSCA)":[132],"algorithm.":[133],"SLIM-KL":[134],"manages":[136],"large-scale":[137],"kernel,":[143],"simultaneously":[144],"ensuring":[145],"data":[146],"privacy":[147],"minimizing":[149],"communication":[150],"costs.":[151],"theoretical":[153],"analysis":[154],"establishes":[155],"convergence":[156],"guarantees":[157],"framework,":[161],"experiments":[163],"diverse":[165],"datasets":[166],"superior":[169],"prediction":[170],"performance":[171],"efficiency":[173],"our":[175],"methods.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
