{"id":"https://openalex.org/W4408355313","doi":"https://doi.org/10.1109/icassp49660.2025.10889417","title":"Decentralized Online Ensembles of Gaussian Processes for Multi-Agent Systems","display_name":"Decentralized Online Ensembles of Gaussian Processes for Multi-Agent Systems","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408355313","doi":"https://doi.org/10.1109/icassp49660.2025.10889417"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5028779362","display_name":"Fernando Llorente","orcid":"https://orcid.org/0000-0003-4436-5709"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fernando Llorente","raw_affiliation_strings":["Stony Brook University,Department of Electrical and Computer Engineering,Stony Brook,New York,USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University,Department of Electrical and Computer Engineering,Stony Brook,New York,USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037977097","display_name":"Daniel Waxman","orcid":"https://orcid.org/0009-0004-0168-5547"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Waxman","raw_affiliation_strings":["Stony Brook University,Department of Electrical and Computer Engineering,Stony Brook,New York,USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University,Department of Electrical and Computer Engineering,Stony Brook,New York,USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006962534","display_name":"Petar M. Djuri\u0107","orcid":"https://orcid.org/0000-0001-7791-3199"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Petar M. Djuri\u0107","raw_affiliation_strings":["Stony Brook University,Department of Electrical and Computer Engineering,Stony Brook,New York,USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University,Department of Electrical and Computer Engineering,Stony Brook,New York,USA","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028779362"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02088401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.8755999803543091,"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":0.8755999803543091,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.8632000088691711,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.8374000191688538,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6839847564697266},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5411471724510193},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4645034968852997},{"id":"https://openalex.org/keywords/multi-agent-system","display_name":"Multi-agent system","score":0.4393637180328369},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.39810842275619507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3572589159011841},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09039363265037537}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6839847564697266},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5411471724510193},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4645034968852997},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.4393637180328369},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.39810842275619507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3572589159011841},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09039363265037537},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1800261609","https://openalex.org/W2014903366","https://openalex.org/W2042664989","https://openalex.org/W2045079045","https://openalex.org/W2127821072","https://openalex.org/W2170912685","https://openalex.org/W2289935681","https://openalex.org/W2567233944","https://openalex.org/W2585502432","https://openalex.org/W2599228073","https://openalex.org/W2736716546","https://openalex.org/W3193777527","https://openalex.org/W3204974012","https://openalex.org/W3205266566","https://openalex.org/W4211049957","https://openalex.org/W4220861777","https://openalex.org/W4244375620","https://openalex.org/W4292363360","https://openalex.org/W4293363567","https://openalex.org/W4399207477","https://openalex.org/W6637968757","https://openalex.org/W6681302627","https://openalex.org/W6728809436","https://openalex.org/W6738196418","https://openalex.org/W6748213982","https://openalex.org/W6751834570","https://openalex.org/W6765649955","https://openalex.org/W6866628794"],"related_works":["https://openalex.org/W3188962172","https://openalex.org/W2772917594","https://openalex.org/W4312825515","https://openalex.org/W4306742369","https://openalex.org/W4303457083","https://openalex.org/W2131146434","https://openalex.org/W2951359407","https://openalex.org/W1964286703","https://openalex.org/W2169866437","https://openalex.org/W3056417032"],"abstract_inverted_index":{"Flexible":[0],"and":[1,81,86],"scalable":[2],"decentralized":[3],"learning":[4,67],"solutions":[5,29],"are":[6,30],"fundamentally":[7],"important":[8],"in":[9,24],"the":[10,25,44,54],"application":[11],"of":[12,48,56],"multi-agent":[13],"systems.":[14],"While":[15],"several":[16],"recent":[17],"approaches":[18],"introduce":[19,35],"(ensembles":[20],"of)":[21],"kernel":[22,66],"machines":[23],"distributed":[26],"setting,":[27],"Bayesian":[28,64,71,80],"much":[31],"more":[32],"limited.":[33],"We":[34,51],"a":[36],"fully":[37],"decentralized,":[38],"asymptotically":[39],"exact":[40],"solution":[41],"to":[42],"computing":[43],"random":[45],"feature":[46],"approximation":[47],"Gaussian":[49],"processes.":[50],"further":[52],"address":[53],"choice":[55],"hyperparameters":[57],"by":[58],"introducing":[59],"an":[60],"ensembling":[61],"scheme":[62],"for":[63],"multiple":[65],"based":[68],"on":[69,84],"online":[70],"model":[72],"averaging.":[73],"The":[74],"resulting":[75],"algorithm":[76],"is":[77],"tested":[78],"against":[79],"frequentist":[82],"methods":[83],"simulated":[85],"real-world":[87],"datasets.":[88]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}