{"id":"https://openalex.org/W4315471961","doi":"https://doi.org/10.1109/cdc51059.2022.9993174","title":"Mission-Aware Value of Information Censoring for Distributed Filtering","display_name":"Mission-Aware Value of Information Censoring for Distributed Filtering","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4315471961","doi":"https://doi.org/10.1109/cdc51059.2022.9993174"},"language":"en","primary_location":{"id":"doi:10.1109/cdc51059.2022.9993174","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cdc51059.2022.9993174","pdf_url":null,"source":{"id":"https://openalex.org/S4363607710","display_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","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/A5045154701","display_name":"Miguel Calvo-Fullana","orcid":"https://orcid.org/0000-0002-9001-3379"},"institutions":[{"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":true,"raw_author_name":"Miguel Calvo-Fullana","raw_affiliation_strings":["Massachusetts Institute of Technology,Cambridge,MA,USA","Massachusetts Institute of Technology, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology,Cambridge,MA,USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011665886","display_name":"Jonathan P. How","orcid":"https://orcid.org/0000-0001-8576-1930"},"institutions":[{"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":"Jonathan P. How","raw_affiliation_strings":["Massachusetts Institute of Technology,Cambridge,MA,USA","Massachusetts Institute of Technology, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology,Cambridge,MA,USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045154701"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":0.1039,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34335273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"182","issue":null,"first_page":"3920","last_page":"3925"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9986000061035156,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9986000061035156,"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":0.9968000054359436,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9958000183105469,"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":0.7555291652679443},{"id":"https://openalex.org/keywords/censoring","display_name":"Censoring (clinical trials)","score":0.7252117395401001},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6485211253166199},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5403516292572021},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.49348580837249756},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.4501837491989136},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43815308809280396},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.3219932019710541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21154803037643433},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15086668729782104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7555291652679443},{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.7252117395401001},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6485211253166199},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5403516292572021},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.49348580837249756},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.4501837491989136},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43815308809280396},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.3219932019710541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21154803037643433},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15086668729782104},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc51059.2022.9993174","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cdc51059.2022.9993174","pdf_url":null,"source":{"id":"https://openalex.org/S4363607710","display_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306994","display_name":"Lockheed Martin","ror":"https://ror.org/026er9r08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1531532259","https://openalex.org/W1970240412","https://openalex.org/W1996384036","https://openalex.org/W2015408690","https://openalex.org/W2033028559","https://openalex.org/W2087204158","https://openalex.org/W2092620240","https://openalex.org/W2093727232","https://openalex.org/W2105934661","https://openalex.org/W2144859729","https://openalex.org/W2145495451","https://openalex.org/W2148234182","https://openalex.org/W2153344006","https://openalex.org/W2158191982","https://openalex.org/W2395240417","https://openalex.org/W2963422011","https://openalex.org/W2964018428","https://openalex.org/W2964339512","https://openalex.org/W3091215936","https://openalex.org/W4251960031","https://openalex.org/W4292363360","https://openalex.org/W4294692001"],"related_works":["https://openalex.org/W1503532423","https://openalex.org/W3135412282","https://openalex.org/W2085667044","https://openalex.org/W2912548622","https://openalex.org/W1967494390","https://openalex.org/W3013496002","https://openalex.org/W2100951127","https://openalex.org/W2465363361","https://openalex.org/W2896820906","https://openalex.org/W4284711868"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,137],"study":[4],"the":[5,33,43,74,132,135],"problem":[6,69],"of":[7,78,91,120,134],"distributed":[8,72],"estimation":[9,27,128],"with":[10,57],"an":[11],"emphasis":[12],"on":[13,20,59],"communication-efficiency.":[14],"The":[15,68,109],"proposed":[16,110],"algorithm":[17],"is":[18,51,70,85,113],"based":[19],"a":[21,24,37,89,116,141],"windowed":[22],"maximum":[23],"posteriori":[25],"(MAP)":[26],"problem,":[28],"wherein":[29,96],"each":[30],"agent":[31],"in":[32,140],"network":[34],"locally":[35],"computes":[36],"Kalman-like":[38],"filter":[39],"estimate":[40,61],"that":[41],"approximates":[42],"centralized":[44],"MAP":[45],"solution.":[46],"Information":[47],"sharing":[48],"among":[49],"agents":[50,97],"restricted":[52],"to":[53,106],"their":[54,100],"neighbors":[55],"only,":[56],"guarantees":[58],"overall":[60,82],"consistency":[62],"provided":[63],"via":[64],"logarithmic":[65],"opinion":[66],"pooling.":[67],"efficiently":[71],"using":[73],"alternating":[75],"direction":[76],"method":[77],"multipliers":[79],"(ADMM),":[80],"whose":[81],"communication":[83,121],"usage":[84],"further":[86],"reduced":[87],"by":[88],"value":[90],"information":[92],"(VoI)":[93],"censoring":[94,111],"mechanism,":[95],"only":[98],"transmit":[99],"primal-dual":[101],"iterates":[102],"when":[103],"deemed":[104],"valuable":[105],"do":[107],"so.":[108],"mechanism":[112],"mission-aware,":[114],"enabling":[115],"globally":[117],"efficient":[118],"use":[119],"resources":[122],"while":[123],"guaranteeing":[124],"possibly":[125],"different":[126],"local":[127],"requirements.":[129],"To":[130],"illustrate":[131],"validity":[133],"approach":[136],"perform":[138],"simulations":[139],"target":[142],"tracking":[143],"scenario.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
