{"id":"https://openalex.org/W4289713072","doi":"https://doi.org/10.1109/isit50566.2022.9834363","title":"Simple Binary Hypothesis Testing under Communication Constraints","display_name":"Simple Binary Hypothesis Testing under Communication Constraints","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4289713072","doi":"https://doi.org/10.1109/isit50566.2022.9834363"},"language":"en","primary_location":{"id":"doi:10.1109/isit50566.2022.9834363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834363","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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 International Symposium on Information Theory (ISIT)","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/A5046067745","display_name":"Ankit Pensia","orcid":"https://orcid.org/0000-0003-3509-1224"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ankit Pensia","raw_affiliation_strings":["University of Wisconsin-Madison"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023368186","display_name":"Po\u2010Ling Loh","orcid":"https://orcid.org/0000-0002-6514-7834"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Po-Ling Loh","raw_affiliation_strings":["University of Cambridge"],"affiliations":[{"raw_affiliation_string":"University of Cambridge","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021502006","display_name":"Varun Jog","orcid":"https://orcid.org/0000-0003-4159-0900"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Varun Jog","raw_affiliation_strings":["University of Cambridge"],"affiliations":[{"raw_affiliation_string":"University of Cambridge","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046067745"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":0.6479,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57703003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3297","last_page":"3302"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9986000061035156,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9980999827384949,"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/hellinger-distance","display_name":"Hellinger distance","score":0.6891853213310242},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.6177495718002319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6060256361961365},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.5568646192550659},{"id":"https://openalex.org/keywords/mathematical-proof","display_name":"Mathematical proof","score":0.551841676235199},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.534843385219574},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.490458220243454},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.48436078429222107},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48216742277145386},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4415043890476227},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4333111345767975},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3873732089996338},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20156919956207275}],"concepts":[{"id":"https://openalex.org/C153024298","wikidata":"https://www.wikidata.org/wiki/Q3030678","display_name":"Hellinger distance","level":2,"score":0.6891853213310242},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.6177495718002319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6060256361961365},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.5568646192550659},{"id":"https://openalex.org/C108710211","wikidata":"https://www.wikidata.org/wiki/Q11538","display_name":"Mathematical proof","level":2,"score":0.551841676235199},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.534843385219574},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.490458220243454},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.48436078429222107},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48216742277145386},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4415043890476227},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4333111345767975},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3873732089996338},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20156919956207275},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit50566.2022.9834363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834363","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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 International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6600000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320273","display_name":"University of Cambridge","ror":"https://ror.org/013meh722"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1495852931","https://openalex.org/W1535258871","https://openalex.org/W2010161926","https://openalex.org/W2058798744","https://openalex.org/W2102931639","https://openalex.org/W2465504090","https://openalex.org/W2797753119","https://openalex.org/W2902082507","https://openalex.org/W2963422939","https://openalex.org/W2963881987","https://openalex.org/W2964336134","https://openalex.org/W2965341441","https://openalex.org/W3090036282","https://openalex.org/W3097851170","https://openalex.org/W3099915675","https://openalex.org/W3101869288","https://openalex.org/W4205228770","https://openalex.org/W4230704549","https://openalex.org/W4300537360","https://openalex.org/W4301420078","https://openalex.org/W4388900512","https://openalex.org/W6684320684","https://openalex.org/W6712937843","https://openalex.org/W6727630618","https://openalex.org/W6749741710","https://openalex.org/W6756822309","https://openalex.org/W6785221659"],"related_works":["https://openalex.org/W2050620380","https://openalex.org/W1977834563","https://openalex.org/W2808944898","https://openalex.org/W4390831585","https://openalex.org/W1979265735","https://openalex.org/W3196207352","https://openalex.org/W2951724202","https://openalex.org/W3084261076","https://openalex.org/W4301399849","https://openalex.org/W2057424919"],"abstract_inverted_index":{"We":[0,58,93],"study":[1],"simple":[2],"binary":[3],"hypothesis":[4,65],"testing":[5,66],"under":[6,67],"communication":[7,39,68],"constraints,":[8,40],"a.k.a.":[9],"\u201cdecentralized":[10],"detection\u201d.":[11],"Here,":[12],"each":[13],"sample":[14,47,62,103],"is":[15,42,49,70,91],"mapped":[16],"to":[17,32],"a":[18,21,27,33,73,96,109,116],"message":[19],"from":[20],"finite":[22],"set":[23],"of":[24,38,64,123],"messages":[25],"via":[26],"channel":[28],"before":[29],"being":[30],"revealed":[31],"statistician.":[34],"In":[35],"the":[36,46,52,56,61,79,101],"absence":[37],"it":[41],"well":[43],"known":[44],"that":[45,60,84],"complexity":[48,63],"characterized":[50],"by":[51],"Hellinger":[53],"distance":[54],"between":[55],"distributions.":[57],"show":[59],"constraints":[69],"at":[71],"most":[72],"logarithmic":[74],"factor":[75],"larger":[76],"than":[77],"in":[78,87],"unconstrained":[80],"setting,":[81],"and":[82,115],"demonstrate":[83],"distributions":[85],"exist":[86],"which":[88,99,120],"this":[89],"characterization":[90],"tight.":[92],"also":[94],"provide":[95],"polynomial-time":[97],"algorithm":[98],"achieves":[100],"aforementioned":[102],"complexity.":[104],"Our":[105],"proofs":[106],"rely":[107],"on":[108],"new":[110],"reverse":[111,117],"data":[112],"processing":[113],"inequality":[114],"Markov\u2019s":[118],"inequality,":[119],"may":[121],"be":[122],"independent":[124],"interest.":[125]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
