{"id":"https://openalex.org/W1925845191","doi":"https://doi.org/10.1109/isit.2015.7282881","title":"Converses for distributed estimation via strong data processing inequalities","display_name":"Converses for distributed estimation via strong data processing inequalities","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1925845191","doi":"https://doi.org/10.1109/isit.2015.7282881","mag":"1925845191"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2015.7282881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2015.7282881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"preprint","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/A5108396457","display_name":"Aolin Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aolin Xu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Illinois, Urbana, IL, USA","Department of Electrical and Computer Engineering and the Coordinated Science Laboratory, University of Illinois, Urbana, 61801, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the Coordinated Science Laboratory, University of Illinois, Urbana, 61801, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044844161","display_name":"Maxim Raginsky","orcid":"https://orcid.org/0000-0002-5586-9219"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maxim Raginsky","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Illinois, Urbana, IL, USA","Department of Electrical and Computer Engineering and the Coordinated Science Laboratory, University of Illinois, Urbana, 61801, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the Coordinated Science Laboratory, University of Illinois, Urbana, 61801, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108396457"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":2.66772107,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.91301465,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"44","issue":null,"first_page":"2376","last_page":"2380"},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/converse","display_name":"Converse","score":0.8622432947158813},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.655945360660553},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.6300013661384583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.609043300151825},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5606792569160461},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5227908492088318},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.5086959004402161},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.49777963757514954},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47485899925231934},{"id":"https://openalex.org/keywords/information-theory","display_name":"Information theory","score":0.4577426612377167},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.4276387691497803},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37169837951660156},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3315262794494629},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.228106290102005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20409607887268066},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.15505173802375793}],"concepts":[{"id":"https://openalex.org/C2776809875","wikidata":"https://www.wikidata.org/wiki/Q1375963","display_name":"Converse","level":2,"score":0.8622432947158813},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.655945360660553},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.6300013661384583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.609043300151825},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5606792569160461},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5227908492088318},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.5086959004402161},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.49777963757514954},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47485899925231934},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.4577426612377167},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.4276387691497803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37169837951660156},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3315262794494629},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.228106290102005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20409607887268066},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.15505173802375793},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2015.7282881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2015.7282881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1590505944","https://openalex.org/W1626317705","https://openalex.org/W1973071586","https://openalex.org/W1989008275","https://openalex.org/W2003776291","https://openalex.org/W2037808459","https://openalex.org/W2053269541","https://openalex.org/W2081231767","https://openalex.org/W2101790310","https://openalex.org/W2107489127","https://openalex.org/W2112905930","https://openalex.org/W2137906383","https://openalex.org/W2142901448","https://openalex.org/W2160570986","https://openalex.org/W2963423396","https://openalex.org/W2964171527","https://openalex.org/W2964181194","https://openalex.org/W6635498180","https://openalex.org/W6636483370","https://openalex.org/W6675423521","https://openalex.org/W6676297045","https://openalex.org/W6676740664"],"related_works":["https://openalex.org/W2920676536","https://openalex.org/W3124771927","https://openalex.org/W2750125254","https://openalex.org/W2551182807","https://openalex.org/W4383822431","https://openalex.org/W2057609120","https://openalex.org/W4225940264","https://openalex.org/W2163103544","https://openalex.org/W4367047287","https://openalex.org/W2889544313"],"abstract_inverted_index":{"We":[0,42],"consider":[1],"the":[2,22,65,83,104,110],"problem":[3],"of":[4,19,28,106],"distributed":[5,96],"estimation,":[6],"where":[7],"local":[8],"processors":[9],"observe":[10],"independent":[11,39],"samples":[12],"conditioned":[13],"on":[14,53,64,95,109],"a":[15,25,35,61],"common":[16],"random":[17],"parameter":[18],"interest,":[20],"map":[21],"observations":[23],"to":[24,34],"finite":[26],"number":[27],"bits,":[29],"and":[30,71,90,101],"send":[31],"these":[32],"bits":[33],"remote":[36],"estimator":[37],"over":[38],"noisy":[40,107],"channels.":[41],"derive":[43],"converse":[44],"results":[45,87,94],"for":[46,82],"this":[47],"problem,":[48],"such":[49],"as":[50,75,77],"lower":[51,62],"bounds":[52],"Bayes":[54,66],"risk.":[55],"The":[56],"main":[57],"technical":[58],"tools":[59],"include":[60],"bound":[63],"risk":[67],"via":[68],"mutual":[69],"information":[70],"small":[72],"ball":[73],"probability,":[74],"well":[76],"strong":[78],"data":[79],"processing":[80],"inequalities":[81],"relative":[84],"entropy.":[85],"Our":[86],"can":[88],"recover":[89],"improve":[91],"some":[92],"existing":[93],"estimation":[97,111],"with":[98],"noiseless":[99],"channels,":[100],"also":[102],"capture":[103],"effect":[105],"channels":[108],"performance.":[112]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
