{"id":"https://openalex.org/W2946277198","doi":"https://doi.org/10.1109/tit.2020.3028439","title":"Inference Under Information Constraints II: Communication Constraints and Shared Randomness","display_name":"Inference Under Information Constraints II: Communication Constraints and Shared Randomness","publication_year":2020,"publication_date":"2020-10-02","ids":{"openalex":"https://openalex.org/W2946277198","doi":"https://doi.org/10.1109/tit.2020.3028439","mag":"2946277198"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2020.3028439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2020.3028439","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","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1905.08302","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022867638","display_name":"Jayadev Acharya","orcid":"https://orcid.org/0000-0003-2170-3015"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jayadev Acharya","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA","cornell University"],"raw_orcid":"https://orcid.org/0000-0003-2170-3015","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"cornell University","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071869723","display_name":"Cl\u00e9ment L. Canonne","orcid":"https://orcid.org/0000-0001-7153-5211"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]},{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Clement L. Canonne","raw_affiliation_strings":["IBM Research, Almaden, CA, USA","Columbia University"],"raw_orcid":"https://orcid.org/0000-0001-7153-5211","affiliations":[{"raw_affiliation_string":"IBM Research, Almaden, CA, USA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077741905","display_name":"Himanshu Tyagi","orcid":"https://orcid.org/0000-0003-2950-706X"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Himanshu Tyagi","raw_affiliation_strings":["Indian Institute of Science, Bangalore, India","Indian Institute of Science"],"raw_orcid":"https://orcid.org/0000-0003-2950-706X","affiliations":[{"raw_affiliation_string":"Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Indian Institute of Science","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6713,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76007305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"66","issue":"12","first_page":"7856","last_page":"7877"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9993000030517578,"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":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7370535731315613},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.7271981835365295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6717987060546875},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.654852032661438},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6189178824424744},{"id":"https://openalex.org/keywords/uniform-distribution","display_name":"Uniform distribution (continuous)","score":0.5196515321731567},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5146180391311646},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.5134871602058411},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.4255133867263794},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4249266982078552},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35335129499435425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27678561210632324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21921750903129578},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19826346635818481},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.15028303861618042}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7370535731315613},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.7271981835365295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6717987060546875},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.654852032661438},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6189178824424744},{"id":"https://openalex.org/C108882938","wikidata":"https://www.wikidata.org/wiki/Q274506","display_name":"Uniform distribution (continuous)","level":2,"score":0.5196515321731567},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5146180391311646},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.5134871602058411},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.4255133867263794},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4249266982078552},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35335129499435425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27678561210632324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21921750903129578},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19826346635818481},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.15028303861618042},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tit.2020.3028439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2020.3028439","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::78969","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401429","display_name":"ePrints@IISc (Indian Institute of Science)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:1905.08302","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.08302","pdf_url":"https://arxiv.org/pdf/1905.08302","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":null,"raw_type":"text"},{"id":"mag:2946277198","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1905.08302.pdf","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.1905.08302","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1905.08302","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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1905.08302","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.08302","pdf_url":"https://arxiv.org/pdf/1905.08302","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":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G1858794012","display_name":null,"funder_award_id":"CCF-1846300","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2438450489","display_name":null,"funder_award_id":"CCF-1815893","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5756421460","display_name":"CAREER: Statistical Inference Under Information Constraints: Efficient Algorithms and Fundamental Limits","funder_award_id":"1846300","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8048430732","display_name":"CIF: Small: Learning Quantum Information Measures","funder_award_id":"1815893","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320308507","display_name":"Stanford University","ror":"https://ror.org/00f54p054"},{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"},{"id":"https://openalex.org/F4320313176","display_name":"Robert Bosch","ror":"https://ror.org/02venad53"},{"id":"https://openalex.org/F4320334035","display_name":"Robert Bosch Centre for Cyber-Physical Systems, Indian Institute of Science Bangalore","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W1487571163","https://openalex.org/W1501167079","https://openalex.org/W1575031463","https://openalex.org/W1994846830","https://openalex.org/W2015820424","https://openalex.org/W2021547642","https://openalex.org/W2053801139","https://openalex.org/W2061130579","https://openalex.org/W2102942501","https://openalex.org/W2104648144","https://openalex.org/W2105433123","https://openalex.org/W2108684595","https://openalex.org/W2112905930","https://openalex.org/W2127180992","https://openalex.org/W2132069633","https://openalex.org/W2138256420","https://openalex.org/W2141432745","https://openalex.org/W2162576315","https://openalex.org/W2163814013","https://openalex.org/W2164278908","https://openalex.org/W2172272342","https://openalex.org/W2340787257","https://openalex.org/W2555774312","https://openalex.org/W2560310599","https://openalex.org/W2592411267","https://openalex.org/W2751154306","https://openalex.org/W2753338564","https://openalex.org/W2784688133","https://openalex.org/W2885351580","https://openalex.org/W2885907219","https://openalex.org/W2901544921","https://openalex.org/W2914834722","https://openalex.org/W2952058015","https://openalex.org/W2963064614","https://openalex.org/W2963086649","https://openalex.org/W2963162812","https://openalex.org/W2963225875","https://openalex.org/W2963422939","https://openalex.org/W2963473808","https://openalex.org/W2963478756","https://openalex.org/W2963499076","https://openalex.org/W2963920131","https://openalex.org/W2964010583","https://openalex.org/W2964181194","https://openalex.org/W2965341441","https://openalex.org/W3023271626","https://openalex.org/W3049226817","https://openalex.org/W3215641518","https://openalex.org/W4292363360","https://openalex.org/W6625842032","https://openalex.org/W6634352905","https://openalex.org/W6651608069","https://openalex.org/W6675423521","https://openalex.org/W6678941442","https://openalex.org/W6679663036","https://openalex.org/W6684583874","https://openalex.org/W6685123235","https://openalex.org/W6713423858","https://openalex.org/W6730417306","https://openalex.org/W6731737594","https://openalex.org/W6732432129","https://openalex.org/W6742084586","https://openalex.org/W6743232382","https://openalex.org/W6744501015","https://openalex.org/W6748089513","https://openalex.org/W6749549994","https://openalex.org/W6750213099","https://openalex.org/W6753116055","https://openalex.org/W6753901700","https://openalex.org/W6757333408","https://openalex.org/W6789077057"],"related_works":["https://openalex.org/W2066817042","https://openalex.org/W2961141522","https://openalex.org/W2963360139","https://openalex.org/W2990924988","https://openalex.org/W3175367179","https://openalex.org/W2580203332","https://openalex.org/W3197691910","https://openalex.org/W3120433095","https://openalex.org/W2931007377","https://openalex.org/W2089984592","https://openalex.org/W2951926089","https://openalex.org/W3105367583","https://openalex.org/W1487337620","https://openalex.org/W2964023411","https://openalex.org/W3018943655","https://openalex.org/W2032864107","https://openalex.org/W3087431171","https://openalex.org/W3016256827","https://openalex.org/W3046678846","https://openalex.org/W2092730076"],"abstract_inverted_index":{"A":[0],"central":[1],"server":[2],"needs":[3],"to":[4,26,76,114,125],"perform":[5],"statistical":[6],"inference":[7,41],"based":[8],"on":[9],"samples":[10,116],"that":[11,59,92,111],"are":[12],"distributed":[13,40],"over":[14],"multiple":[15],"users":[16],"who":[17],"can":[18],"each":[19],"send":[20],"a":[21,51,55,89,108],"message":[22],"of":[23,32,47,122],"limited":[24],"length":[25],"the":[27,45,115,119,126],"center.":[28],"We":[29,53],"study":[30],"problems":[31],"distribution":[33,69,81,96,124],"learning":[34],"and":[35,43,65,98],"identity":[36],"testing":[37,82,97],"in":[38,100],"this":[39],"setting":[42],"examine":[44],"role":[46],"shared":[48],"randomness":[49],"as":[50],"resource.":[52],"propose":[54,88],"general-purpose":[56],"simulate-and-infer":[57,94],"strategy":[58,73],"uses":[60],"only":[61],"private-coin":[62,84],"communication":[63],"protocols":[64],"is":[66,107],"sample-optimal":[67,78],"for":[68,80,95],"learning.":[70],"This":[71],"general":[72],"turns":[74],"out":[75],"be":[77],"even":[79],"among":[83],"protocols.":[85],"Interestingly,":[86],"we":[87],"public-coin":[90,105],"protocol":[91,106],"outperforms":[93],"is,":[99],"fact,":[101],"sample-optimal.":[102],"Underlying":[103],"our":[104],"random":[109],"hash":[110],"when":[112],"applied":[113],"minimally":[117],"contracts":[118],"chi-squared":[120],"distance":[121],"their":[123],"uniform":[127],"distribution.":[128]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
