{"id":"https://openalex.org/W3182701457","doi":"https://doi.org/10.1109/tit.2022.3208814","title":"Rate-Exponent Region for a Class of Distributed Hypothesis Testing Against Conditional Independence Problems","display_name":"Rate-Exponent Region for a Class of Distributed Hypothesis Testing Against Conditional Independence Problems","publication_year":2022,"publication_date":"2022-09-22","ids":{"openalex":"https://openalex.org/W3182701457","doi":"https://doi.org/10.1109/tit.2022.3208814","mag":"3182701457"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2022.3208814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2022.3208814","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2107.05538","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014906072","display_name":"Abdellatif Zaidi","orcid":"https://orcid.org/0000-0003-2023-9476"},"institutions":[{"id":"https://openalex.org/I4210152518","display_name":"Laboratoire d'Informatique Gaspard-Monge","ror":"https://ror.org/04t50yk91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I142631665","https://openalex.org/I4210145102","https://openalex.org/I4210152518","https://openalex.org/I4210154111","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I4210154111","display_name":"Universit\u00e9 Gustave Eiffel","ror":"https://ror.org/03x42jk29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210154111"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Abdellatif Zaidi","raw_affiliation_strings":["Laboratoire d&#x2019;Informatique Gaspard Monge (LIGM), Universit&#x00E9; Gustave Eiffel, Champs-sur-Marne, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire d&#x2019;Informatique Gaspard Monge (LIGM), Universit&#x00E9; Gustave Eiffel, Champs-sur-Marne, France","institution_ids":["https://openalex.org/I4210152518","https://openalex.org/I4210154111"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5014906072"],"corresponding_institution_ids":["https://openalex.org/I4210152518","https://openalex.org/I4210154111"],"apc_list":null,"apc_paid":null,"fwci":0.2766,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5077066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"69","issue":"2","first_page":"703","last_page":"718"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9987000226974487,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.998199999332428,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9927999973297119,"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/mathematics","display_name":"Mathematics","score":0.665940523147583},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.6075849533081055},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.595722496509552},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.5081357955932617},{"id":"https://openalex.org/keywords/exponent","display_name":"Exponent","score":0.48425576090812683},{"id":"https://openalex.org/keywords/bin","display_name":"Bin","score":0.46641385555267334},{"id":"https://openalex.org/keywords/de-bruijn-sequence","display_name":"De Bruijn sequence","score":0.44813215732574463},{"id":"https://openalex.org/keywords/conditional-independence","display_name":"Conditional independence","score":0.4294450283050537},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.42886704206466675},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.37157368659973145},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3580334186553955},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19744113087654114},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11669102311134338}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.665940523147583},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.6075849533081055},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.595722496509552},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.5081357955932617},{"id":"https://openalex.org/C2780388253","wikidata":"https://www.wikidata.org/wiki/Q5421508","display_name":"Exponent","level":2,"score":0.48425576090812683},{"id":"https://openalex.org/C156273044","wikidata":"https://www.wikidata.org/wiki/Q4913766","display_name":"Bin","level":2,"score":0.46641385555267334},{"id":"https://openalex.org/C170320093","wikidata":"https://www.wikidata.org/wiki/Q1953457","display_name":"De Bruijn sequence","level":2,"score":0.44813215732574463},{"id":"https://openalex.org/C79772020","wikidata":"https://www.wikidata.org/wiki/Q5159264","display_name":"Conditional independence","level":2,"score":0.4294450283050537},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.42886704206466675},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.37157368659973145},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3580334186553955},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19744113087654114},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11669102311134338},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tit.2022.3208814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2022.3208814","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2107.05538","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2107.05538","pdf_url":"https://arxiv.org/pdf/2107.05538","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":"pmh:oai:HAL:hal-04456006v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04456006","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Information Theory, 2023, 69 (2), pp.703-718. &#x27E8;10.1109/TIT.2022.3208814&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2107.05538","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2107.05538","pdf_url":"https://arxiv.org/pdf/2107.05538","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3182701457.pdf","grobid_xml":"https://content.openalex.org/works/W3182701457.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W607870208","https://openalex.org/W1646974093","https://openalex.org/W1974086310","https://openalex.org/W1990844093","https://openalex.org/W1994846830","https://openalex.org/W2021547642","https://openalex.org/W2042451119","https://openalex.org/W2056129277","https://openalex.org/W2096704225","https://openalex.org/W2099111195","https://openalex.org/W2136288990","https://openalex.org/W2148598259","https://openalex.org/W2149094627","https://openalex.org/W2165322425","https://openalex.org/W2172236196","https://openalex.org/W2173267959","https://openalex.org/W2179036435","https://openalex.org/W2478708596","https://openalex.org/W2554621424","https://openalex.org/W2583220279","https://openalex.org/W2745643943","https://openalex.org/W2769131234","https://openalex.org/W2773633221","https://openalex.org/W2792664856","https://openalex.org/W2803363575","https://openalex.org/W2805594262","https://openalex.org/W2894719242","https://openalex.org/W2896609429","https://openalex.org/W2911030528","https://openalex.org/W2914560440","https://openalex.org/W2956860241","https://openalex.org/W2963910607","https://openalex.org/W2964209319","https://openalex.org/W2983400533","https://openalex.org/W3004645319","https://openalex.org/W3005763292","https://openalex.org/W3021575044","https://openalex.org/W3034569612","https://openalex.org/W3080462207","https://openalex.org/W3098459361","https://openalex.org/W3099926504","https://openalex.org/W3153809320","https://openalex.org/W3175479769","https://openalex.org/W3216977419"],"related_works":["https://openalex.org/W3198016531","https://openalex.org/W127787461","https://openalex.org/W2039773446","https://openalex.org/W1998517951","https://openalex.org/W2397939707","https://openalex.org/W2126473010","https://openalex.org/W2382005989","https://openalex.org/W2893091540","https://openalex.org/W2558656005","https://openalex.org/W2107701374"],"abstract_inverted_index":{"We":[0],"study":[1,163],"a":[2,31,71,96,103,164,211],"class":[3],"of":[4,24,51,84,102,115,166,236,239,256,259],"<inline-formula":[5,35],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[6,36],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[7,37],"<tex-math":[8,38],"notation=\"LaTeX\">$K$":[9],"</tex-math></inline-formula>":[10,41],"-encoder":[11],"hypothesis":[12,188],"testing":[13],"against":[14],"conditional":[15],"independence":[16],"problems.":[17],"Under":[18],"the":[19,25,43,49,66,81,89,108,113,120,129,135,152,167,171,181,186,202,218,222,227,231,237,240,257],"criterion":[20],"that":[21,76,105,123,217],"stipulates":[22],"minimization":[23],"Type":[26,44],"II":[27],"error":[28],"subject":[29],"to":[30,156,209],"(constant)":[32],"upper":[33,199,228],"bound":[34,99,200,206,220,229,242],"notation=\"LaTeX\">$\\epsilon":[39],"$":[40],"on":[42,107,201],"I":[45],"error,":[46],"we":[47,69,94,161],"characterize":[48],"set":[50],"encoding":[52],"rates":[53],"and":[54,60,74,86,112,142,180,248],"exponent":[55],"for":[56,124,244],"both":[57],"discrete":[58],"memoryless":[59,61,90,125],"vector":[62,91,126],"Gaussian":[63,92,127,139],"settings.":[64],"For":[65,88,191],"DM":[67],"setting,":[68,93],"provide":[70],"converse":[72],"proof":[73],"show":[75],"it":[77],"is":[78,132,144,197,207,243],"achieved":[79],"using":[80,134],"Quantize-Bin-Test":[82,136],"scheme":[83,137],"Rahman":[85],"Wagner.":[87],"develop":[95],"tight":[97],"outer":[98],"by":[100,150,251],"means":[101],"technique":[104],"relies":[106],"de":[109],"Bruijn":[110],"identity":[111],"properties":[114],"Fisher":[116],"information.":[117],"In":[118],"particular,":[119],"result":[121,196],"shows":[122],"sources":[128],"rate-exponent":[130],"region":[131],"exhausted":[133],"with":[138],"test":[140],"channels;":[141],"there":[143],"no":[145],"loss":[146],"in":[147,169],"performance":[148],"caused":[149],"restricting":[151],"sensors\u2019":[153,182],"encoders":[154],"not":[155,173],"employ":[157],"time":[158],"sharing.":[159],"Furthermore,":[160],"also":[162],"variant":[165],"problem":[168],"which":[170],"source,":[172],"necessarily":[174],"Gaussian,":[175],"has":[176,230],"finite":[177],"differential":[178],"entropy":[179,233],"observations":[183],"noises":[184],"under":[185],"null":[187],"are":[189],"Gaussian.":[190],"this":[192],"model,":[193],"our":[194],"main":[195],"an":[198],"exponent-rate":[203],"function.":[204],"The":[205],"shown":[208],"mirror":[210],"corresponding":[212],"explicit":[213],"lower":[214,219],"bound,":[215],"except":[216],"involves":[221],"source":[223,232],"power":[224],"(variance)":[225],"whereas":[226],"power.":[234],"Part":[235],"utility":[238],"established":[241],"investigating":[245],"asymptotic":[246],"exponent/rates":[247],"losses":[249],"incurred":[250],"distributed":[252],"detection":[253],"as":[254],"function":[255],"number":[258],"sensors.":[260]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}