{"id":"https://openalex.org/W3107322550","doi":"https://doi.org/10.1109/tsipn.2021.3085127","title":"A General Framework for Distributed Inference With Uncertain Models","display_name":"A General Framework for Distributed Inference With Uncertain Models","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3107322550","doi":"https://doi.org/10.1109/tsipn.2021.3085127","mag":"3107322550"},"language":"en","primary_location":{"id":"doi:10.1109/tsipn.2021.3085127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsipn.2021.3085127","pdf_url":null,"source":{"id":"https://openalex.org/S4306422866","display_name":"IEEE Transactions on Signal and Information Processing over Networks","issn_l":"2373-776X","issn":["2373-776X","2373-7778"],"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 Signal and Information Processing over Networks","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2011.10669","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009542299","display_name":"James Z. Hare","orcid":"https://orcid.org/0000-0002-3920-7442"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"James Z. Hare","raw_affiliation_strings":["U.S. Army Research Laboratory, Adelphi, MD, USA",", U.S. Army Research Laboratory, Adelphi, MD, USA"],"raw_orcid":"https://orcid.org/0000-0002-3920-7442","affiliations":[{"raw_affiliation_string":"U.S. Army Research Laboratory, Adelphi, MD, USA","institution_ids":["https://openalex.org/I166416128"]},{"raw_affiliation_string":", U.S. Army Research Laboratory, Adelphi, MD, USA","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047076392","display_name":"C\u00e9sar A. Uribe","orcid":"https://orcid.org/0000-0002-7080-9724"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cesar A. Uribe","raw_affiliation_strings":["Department of Electrical and Computer Engineering at Rice University, Houston, TX, USA"],"raw_orcid":"https://orcid.org/0000-0002-7080-9724","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering at Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022713560","display_name":"Lance Kaplan","orcid":"https://orcid.org/0000-0002-3627-4471"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lance Kaplan","raw_affiliation_strings":["U.S. Army Research Laboratory, Adelphi, MD, USA",", U.S. Army Research Laboratory, Adelphi, MD, USA"],"raw_orcid":"https://orcid.org/0000-0002-3627-4471","affiliations":[{"raw_affiliation_string":"U.S. Army Research Laboratory, Adelphi, MD, USA","institution_ids":["https://openalex.org/I166416128"]},{"raw_affiliation_string":", U.S. Army Research Laboratory, Adelphi, MD, USA","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078288116","display_name":"Ali Jadbabaie","orcid":"https://orcid.org/0000-0003-1122-3069"},"institutions":[{"id":"https://openalex.org/I4210143601","display_name":"Decision Systems (United States)","ror":"https://ror.org/0434dpa13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143601"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Jadbabaie","raw_affiliation_strings":["Laboratory for Information and Decision Systems (LIDS), Institute for Data, Systems, and Society (IDSS) and the Department of Civil and Environmental Engineering at the Massachusetts Institute of Technology, Cambridge, MA, USA","[Laboratory for Information and Decision Systems (LIDS), Institute for Data, Systems, and Society (IDSS) and the Department of Civil and Environmental Engineering at the Massachusetts Institute of Technology, Cambridge, MA, USA]"],"raw_orcid":"https://orcid.org/0000-0003-1122-3069","affiliations":[{"raw_affiliation_string":"Laboratory for Information and Decision Systems (LIDS), Institute for Data, Systems, and Society (IDSS) and the Department of Civil and Environmental Engineering at the Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210143601"]},{"raw_affiliation_string":"[Laboratory for Information and Decision Systems (LIDS), Institute for Data, Systems, and Society (IDSS) and the Department of Civil and Environmental Engineering at the Massachusetts Institute of Technology, Cambridge, MA, USA]","institution_ids":["https://openalex.org/I4210143601","https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009542299"],"corresponding_institution_ids":["https://openalex.org/I166416128"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01417001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"392","last_page":"405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9988999962806702,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.991599977016449,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9887999892234802,"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":0.7107663154602051},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5863304138183594},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5643064975738525},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5478971004486084},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5325003862380981},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5184704661369324},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4841623902320862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.473433256149292},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.44680726528167725},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.41800329089164734},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.41386252641677856},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.40287405252456665},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16999700665473938}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7107663154602051},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5863304138183594},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5643064975738525},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5478971004486084},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5325003862380981},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5184704661369324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4841623902320862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.473433256149292},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.44680726528167725},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.41800329089164734},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.41386252641677856},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.40287405252456665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16999700665473938},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tsipn.2021.3085127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsipn.2021.3085127","pdf_url":null,"source":{"id":"https://openalex.org/S4306422866","display_name":"IEEE Transactions on Signal and Information Processing over Networks","issn_l":"2373-776X","issn":["2373-776X","2373-7778"],"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 Signal and Information Processing over Networks","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2011.10669","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.10669","pdf_url":"https://arxiv.org/pdf/2011.10669","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3107322550","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2011.10669","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2011.10669","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2011.10669","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.17023/0ce9-vn17","is_oa":true,"landing_page_url":"https://doi.org/10.17023/0ce9-vn17","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2011.10669","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.10669","pdf_url":"https://arxiv.org/pdf/2011.10669","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3107322550.pdf","grobid_xml":"https://content.openalex.org/works/W3107322550.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W103475893","https://openalex.org/W1480196266","https://openalex.org/W1485215434","https://openalex.org/W1503398984","https://openalex.org/W1969275591","https://openalex.org/W2000216600","https://openalex.org/W2006258746","https://openalex.org/W2020592996","https://openalex.org/W2034517627","https://openalex.org/W2040011853","https://openalex.org/W2045656233","https://openalex.org/W2052602862","https://openalex.org/W2058360748","https://openalex.org/W2059686185","https://openalex.org/W2064505280","https://openalex.org/W2066843515","https://openalex.org/W2072856173","https://openalex.org/W2115733245","https://openalex.org/W2124770452","https://openalex.org/W2148180395","https://openalex.org/W2165429502","https://openalex.org/W2169826194","https://openalex.org/W2520155607","https://openalex.org/W2608734364","https://openalex.org/W2615737084","https://openalex.org/W2784150406","https://openalex.org/W2795239532","https://openalex.org/W2797148637","https://openalex.org/W2806386733","https://openalex.org/W2811513716","https://openalex.org/W2899656580","https://openalex.org/W2906950547","https://openalex.org/W2935765455","https://openalex.org/W2962743217","https://openalex.org/W2963118811","https://openalex.org/W2963738391","https://openalex.org/W2963881501","https://openalex.org/W2972572068","https://openalex.org/W2972720282","https://openalex.org/W2973904754","https://openalex.org/W2980423179","https://openalex.org/W3011133540","https://openalex.org/W3011261316","https://openalex.org/W3011951066","https://openalex.org/W3014596384","https://openalex.org/W3016259386","https://openalex.org/W3022273187","https://openalex.org/W3045572672","https://openalex.org/W3102646983","https://openalex.org/W3134774296","https://openalex.org/W4248681815","https://openalex.org/W4301347335","https://openalex.org/W6678487047","https://openalex.org/W6681660884","https://openalex.org/W6718723117","https://openalex.org/W6756281217","https://openalex.org/W6757286538","https://openalex.org/W6775272959","https://openalex.org/W6784277513","https://openalex.org/W6788789730"],"related_works":["https://openalex.org/W3182501581","https://openalex.org/W3016259386","https://openalex.org/W3045572672","https://openalex.org/W2972809422","https://openalex.org/W2973904754","https://openalex.org/W2000216600","https://openalex.org/W2806386733","https://openalex.org/W2750152668","https://openalex.org/W2562887561","https://openalex.org/W3008216650","https://openalex.org/W2883728926","https://openalex.org/W2807640586","https://openalex.org/W2505785753","https://openalex.org/W3160572887","https://openalex.org/W3034389132","https://openalex.org/W1828460965","https://openalex.org/W2146521249","https://openalex.org/W2611766042","https://openalex.org/W3174519771","https://openalex.org/W2119199958"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,20,44,50,57,78,91,115,126,136,145,149,161,167],"problem":[4,32,71],"of":[5,11,29,59,138,156,187],"distributed":[6],"classification":[7],"with":[8],"a":[9,27,37,66,153,171,184],"network":[10],"heterogeneous":[12],"agents.":[13],"The":[14,31],"agents":[15,45,79,98,113],"seek":[16,46],"to":[17,36,47,80,101,143,164,166,179,182],"jointly":[18],"identify":[19],"underlying":[21],"target":[22],"class":[23],"that":[24,43,54,68,97,159],"best":[25,55],"describes":[26],"sequence":[28],"observations.":[30,60],"is":[33],"first":[34],"abstracted":[35],"hypothesis-testing":[38],"framework,":[39],"where":[40],"we":[41,133,175],"assume":[42,96],"agree":[48],"on":[49,119],"hypothesis":[51,89],"(target":[52],"class)":[53],"matches":[56],"distribution":[58,158],"Non-Bayesian":[61],"social":[62,192],"learning":[63],"theory":[64],"provides":[65],"framework":[67,186],"solves":[69],"this":[70,131],"in":[72,109,125,148,190],"an":[73],"efficient":[74],"manner":[75],"by":[76,151],"allowing":[77],"sequentially":[81],"communicate":[82],"and":[83],"update":[84],"their":[85],"beliefs":[86,163],"for":[87,105],"each":[88,106],"over":[90],"network.":[92],"Most":[93],"existing":[94],"approaches":[95],"have":[99],"access":[100],"exact":[102],"statistical":[103],"models":[104,117,181,189],"hypothesis.":[107],"However,":[108],"many":[110],"practical":[111],"applications,":[112],"learn":[114],"likelihood":[116,127],"based":[118],"limited":[120],"data,":[121],"which":[122],"induces":[123],"uncertainty":[124,147],"function":[128],"parameters.":[129],"In":[130],"work,":[132],"build":[134],"upon":[135],"concept":[137],"<italic":[139],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[140],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">uncertain":[141],"models</i>":[142],"incorporate":[144],"agents\u2019":[146,162],"likelihoods":[150],"identifying":[152],"broad":[154],"set":[155],"parametric":[157],"allows":[160],"converge":[165],"same":[168],"result":[169],"as":[170],"centralized":[172],"approach.":[173],"Furthermore,":[174],"empirically":[176],"explore":[177],"extensions":[178],"non-parametric":[180],"provide":[183],"generalized":[185],"uncertain":[188],"non-Bayesian":[191],"learning.":[193]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
