{"id":"https://openalex.org/W4289713192","doi":"https://doi.org/10.1109/isit50566.2022.9834610","title":"Estimating Sparse Distributions Under Joint Communication and Privacy Constraints","display_name":"Estimating Sparse Distributions Under Joint Communication and Privacy Constraints","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4289713192","doi":"https://doi.org/10.1109/isit50566.2022.9834610"},"language":"en","primary_location":{"id":"doi:10.1109/isit50566.2022.9834610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834610","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/A5083787197","display_name":"Surin Ahn","orcid":"https://orcid.org/0000-0001-5615-4859"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Surin Ahn","raw_affiliation_strings":["Stanford University,Department of Electrical Engineering","Department of Electrical Engineering, Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University,Department of Electrical Engineering","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020190617","display_name":"Weining Chen","orcid":"https://orcid.org/0000-0001-7355-9487"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei-Ning Chen","raw_affiliation_strings":["Stanford University,Department of Electrical Engineering","Department of Electrical Engineering, Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University,Department of Electrical Engineering","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003322209","display_name":"Ayfer \u00d6zg\u00fcr","orcid":"https://orcid.org/0000-0002-4455-4692"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ayfer \u00d6zg\u00fcr","raw_affiliation_strings":["Stanford University,Department of Electrical Engineering","Department of Electrical Engineering, Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University,Department of Electrical Engineering","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083787197"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.1049,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.28026288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3144","last_page":"3149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.996999979019165,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.996999979019165,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9954000115394592,"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/minimax","display_name":"Minimax","score":0.7128527760505676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6703653335571289},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6132951378822327},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5412357449531555},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5101852416992188},{"id":"https://openalex.org/keywords/joint-probability-distribution","display_name":"Joint probability distribution","score":0.5080106258392334},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.4773150384426117},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.4717429578304291},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.46123552322387695},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.44735467433929443},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36226212978363037},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3612514138221741},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2969852685928345},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10958945751190186}],"concepts":[{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.7128527760505676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6703653335571289},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6132951378822327},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5412357449531555},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5101852416992188},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.5080106258392334},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.4773150384426117},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.4717429578304291},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.46123552322387695},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.44735467433929443},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36226212978363037},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3612514138221741},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2969852685928345},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10958945751190186},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit50566.2022.9834610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834610","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":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320307791","display_name":"Cisco Systems","ror":"https://ror.org/03yt1ez60"},{"id":"https://openalex.org/F4320307797","display_name":"National Semiconductor","ror":"https://ror.org/03vsmv677"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1975680434","https://openalex.org/W1981029888","https://openalex.org/W1986293063","https://openalex.org/W2013823004","https://openalex.org/W2053801139","https://openalex.org/W2164452299","https://openalex.org/W2753338564","https://openalex.org/W2792817205","https://openalex.org/W2810834533","https://openalex.org/W2885907219","https://openalex.org/W2949528286","https://openalex.org/W2963424903","https://openalex.org/W2964074929","https://openalex.org/W2964336134","https://openalex.org/W3044482596","https://openalex.org/W3090036282","https://openalex.org/W3102859907","https://openalex.org/W3106581159","https://openalex.org/W3109664139","https://openalex.org/W3144665692","https://openalex.org/W3170589391","https://openalex.org/W3198132099","https://openalex.org/W4211030719","https://openalex.org/W4288598403","https://openalex.org/W4293582152","https://openalex.org/W4294106961","https://openalex.org/W6696286401","https://openalex.org/W6740797600","https://openalex.org/W6744501015","https://openalex.org/W6753116055","https://openalex.org/W6762410339","https://openalex.org/W6763621396","https://openalex.org/W6771536673","https://openalex.org/W6781325645","https://openalex.org/W6781605033","https://openalex.org/W6786110053","https://openalex.org/W6792267004","https://openalex.org/W6796861449"],"related_works":["https://openalex.org/W1889656857","https://openalex.org/W3006170092","https://openalex.org/W4287212098","https://openalex.org/W1837028339","https://openalex.org/W3094535585","https://openalex.org/W2507932247","https://openalex.org/W2963502116","https://openalex.org/W4299419300","https://openalex.org/W3177261907","https://openalex.org/W2126878966"],"abstract_inverted_index":{"We":[0,78],"consider":[1],"the":[2,32,45,58,67,81,96,105,109,112,122,130,135,146],"problem":[3],"of":[4,99,108,121,134],"estimating":[5],"a":[6,16,40,86],"d-dimensional,":[7],"s-sparse":[8],"discrete":[9],"distribution":[10],"from":[11],"independent":[12],"samples":[13,100,114],"subject":[14],"to":[15,56,103,117,139],"joint":[17],"b-bit":[18],"communication":[19,74,150],"constraint":[20],"and":[21,63,75,111,151],"\u03b5-local":[22],"differential":[23],"privacy":[24,48,76,152],"constraint.":[25],"As":[26],"an":[27],"intermediate":[28],"step,":[29],"we":[30,128],"introduce":[31],"Privatized":[33],"Random":[34],"Hashing":[35],"(PRH)":[36],"scheme,":[37,127],"which":[38,95],"concatenates":[39],"hashing-based":[41],"quantization":[42],"strategy":[43],"with":[44],"randomized":[46],"response":[47],"mechanism.":[49],"Despite":[50],"its":[51],"simplicity,":[52],"PRH":[53,93],"turns":[54],"out":[55],"achieve":[57],"order-optimal":[59],"minimax":[60,131],"estimation":[61,70,89],"error":[62],"sample":[64,132],"complexity":[65,133],"in":[66,94,145],"standard":[68],"(non-sparse)":[69],"setting,":[71],"for":[72],"all":[73],"regimes.":[77],"then":[79],"address":[80],"sparse":[82,136],"case":[83,137],"by":[84],"developing":[85],"two-stage,":[87],"non-interactive":[88],"scheme":[90],"based":[91],"on":[92],"first":[97],"half":[98],"are":[101,115],"used":[102,116],"localize":[104],"unknown":[106],"support":[107],"distribution,":[110],"remaining":[113],"obtain":[118],"precise":[119],"estimates":[120],"individual":[123],"probabilities.":[124],"Using":[125],"this":[126],"characterize":[129],"up":[138],"logarithmic":[140],"factors,":[141],"unifying":[142],"existing":[143],"results":[144],"literature":[147],"that":[148],"considered":[149],"constraints":[153],"separately.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}