{"id":"https://openalex.org/W1963163055","doi":"https://doi.org/10.1109/isit.2016.7541368","title":"Adaptive protocols for interactive communication","display_name":"Adaptive protocols for interactive communication","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W1963163055","doi":"https://doi.org/10.1109/isit.2016.7541368","mag":"1963163055"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2016.7541368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1312.4182","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101479183","display_name":"Shweta Agrawal","orcid":"https://orcid.org/0000-0002-1463-5555"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shweta Agrawal","raw_affiliation_strings":["IIT Delhi, India","IIT Delhi,India"],"affiliations":[{"raw_affiliation_string":"IIT Delhi, India","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"IIT Delhi,India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085059786","display_name":"Ran Gelles","orcid":"https://orcid.org/0000-0003-3615-3239"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ran Gelles","raw_affiliation_strings":["Princeton University, USA"],"affiliations":[{"raw_affiliation_string":"Princeton University, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103835895","display_name":"Amit Sahai","orcid":"https://orcid.org/0000-0003-2216-9600"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Sahai","raw_affiliation_strings":["University of California, Los Angeles, USA","University of California\u2013Los Angeles USA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California\u2013Los Angeles USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101479183"],"corresponding_institution_ids":["https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":0.8887,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83253362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"595","last_page":"599"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9984999895095825,"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/T10237","display_name":"Cryptography and Data Security","score":0.9984999895095825,"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9970999956130981,"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":0.7595364451408386},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6927937865257263},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.6658382415771484},{"id":"https://openalex.org/keywords/impossibility","display_name":"Impossibility","score":0.5729682445526123},{"id":"https://openalex.org/keywords/communications-protocol","display_name":"Communications protocol","score":0.45434802770614624},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.39462146162986755},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34807467460632324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11928749084472656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7595364451408386},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6927937865257263},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.6658382415771484},{"id":"https://openalex.org/C2776261394","wikidata":"https://www.wikidata.org/wiki/Q315562","display_name":"Impossibility","level":2,"score":0.5729682445526123},{"id":"https://openalex.org/C12269588","wikidata":"https://www.wikidata.org/wiki/Q132364","display_name":"Communications protocol","level":2,"score":0.45434802770614624},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.39462146162986755},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34807467460632324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11928749084472656},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/isit.2016.7541368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1312.4182","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1312.4182","pdf_url":"https://arxiv.org/pdf/1312.4182","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:CiteSeerX.psu:10.1.1.748.9196","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.748.9196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1312.4182.pdf","raw_type":"text"},{"id":"doi:10.48550/arxiv.1312.4182","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1312.4182","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":"article"},{"id":"mag:1963163055","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1312.4182","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1312.4182","pdf_url":"https://arxiv.org/pdf/1312.4182","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1894162430","https://openalex.org/W1978882850","https://openalex.org/W1981068980","https://openalex.org/W2003497308","https://openalex.org/W2012171341","https://openalex.org/W2020278159","https://openalex.org/W2022350090","https://openalex.org/W2031579086","https://openalex.org/W2038082587","https://openalex.org/W2040355376","https://openalex.org/W2041404167","https://openalex.org/W2043868537","https://openalex.org/W2077242989","https://openalex.org/W2109131159","https://openalex.org/W2114626874","https://openalex.org/W2115551261","https://openalex.org/W2117696850","https://openalex.org/W2126420649","https://openalex.org/W2133385775","https://openalex.org/W2216201412","https://openalex.org/W2952019917","https://openalex.org/W2952555754","https://openalex.org/W2963060525","https://openalex.org/W2964292074"],"related_works":["https://openalex.org/W2962994829","https://openalex.org/W2115551261","https://openalex.org/W2072979474","https://openalex.org/W2040355376","https://openalex.org/W2003497308","https://openalex.org/W2012171341","https://openalex.org/W2407991844","https://openalex.org/W2026670837","https://openalex.org/W2020278159","https://openalex.org/W2117696850","https://openalex.org/W2022350090","https://openalex.org/W2963060525","https://openalex.org/W2126420649","https://openalex.org/W2038082587","https://openalex.org/W3022245005","https://openalex.org/W2964292074","https://openalex.org/W2163137752","https://openalex.org/W3035722085","https://openalex.org/W2296666549","https://openalex.org/W2804279469"],"abstract_inverted_index":{"How":[0],"much":[1],"adversarial":[2],"noise":[3,61,103,127,148,166],"can":[4],"protocols":[5,46,56,93],"for":[6,23,47],"interactive":[7,48],"communication":[8],"tolerate?":[9],"This":[10],"question":[11],"was":[12],"examined":[13],"by":[14,63],"Braverman":[15],"and":[16,37,75,94,97,168],"Rao":[17],"(IEEE":[18],"Trans.":[19],"Inf.":[20],"Theory,":[21],"2014)":[22],"the":[24,60,64,67,71,76,79,101,109,112,119,133,162],"case":[25],"of":[26,45,73,78,111,135,159,164],"\u201crobust\u201d":[27],"protocols,":[28],"where":[29],"each":[30],"party":[31],"sends":[32],"messages":[33],"only":[34],"in":[35,66,105],"fixed":[36],"predetermined":[38],"rounds.":[39],"We":[40,87],"consider":[41],"a":[42,123,144],"new":[43],"class":[44],"communication,":[49],"which":[50],"we":[51,121,142],"call":[52],"adaptive":[53,92],"protocols.":[54],"Such":[55],"adapt":[57],"structurally":[58],"to":[59,118,130,151],"induced":[62],"channel":[65],"sense":[68],"that":[69,90,125,146],"both":[70],"order":[72,134],"speaking,":[74],"length":[77,110],"protocol":[80,113,124,145],"may":[81,114,137],"vary":[82],"depending":[83],"on":[84,100,161],"observed":[85],"noise.":[86],"define":[88],"models":[89],"capture":[91],"study":[95],"upper":[96],"lower":[98],"bounds":[99],"permissible":[102],"rate":[104],"these":[106],"models.":[107],"When":[108,132],"adaptively":[115,138],"change":[116,139],"according":[117],"noise,":[120],"demonstrate":[122,143],"tolerates":[126,147],"rates":[128,149],"up":[129,150],"1/3.":[131],"speaking":[136],"as":[140],"well,":[141],"2/3.":[152],"Hence,":[153],"adaptivity":[154],"circumvents":[155],"an":[156],"impossibility":[157],"result":[158],"1/4":[160],"fraction":[163],"tolerable":[165],"(Braverman":[167],"Rao,":[169],"2014).":[170]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":5}],"updated_date":"2026-03-21T06:30:42.041108","created_date":"2025-10-10T00:00:00"}
