{"id":"https://openalex.org/W4289655333","doi":"https://doi.org/10.1109/isit50566.2022.9834713","title":"Distributed User-Level Private Mean Estimation","display_name":"Distributed User-Level Private Mean Estimation","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4289655333","doi":"https://doi.org/10.1109/isit50566.2022.9834713"},"language":"en","primary_location":{"id":"doi:10.1109/isit50566.2022.9834713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834713","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/A5057824853","display_name":"Antonious M. Girgis","orcid":"https://orcid.org/0000-0001-9828-6534"},"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":true,"raw_author_name":"Antonious M. Girgis","raw_affiliation_strings":["University of California,Los Angeles,USA","University of California, Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"University of California,Los Angeles,USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023777978","display_name":"Deepesh Data","orcid":"https://orcid.org/0000-0003-3544-8414"},"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":"Deepesh Data","raw_affiliation_strings":["University of California,Los Angeles,USA","University of California, Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"University of California,Los Angeles,USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083980887","display_name":"Suhas Diggavi","orcid":"https://orcid.org/0000-0001-7313-9861"},"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":"Suhas Diggavi","raw_affiliation_strings":["University of California,Los Angeles,USA","University of California, Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"University of California,Los Angeles,USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057824853"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":0.3118,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49703728,"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":"2196","last_page":"2201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T10237","display_name":"Cryptography and Data Security","score":0.9915000200271606,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/differential-privacy","display_name":"Differential privacy","score":0.9392665028572083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7769558429718018},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6454704403877258},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.506056010723114},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.4943828582763672},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.4610011577606201},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4530588388442993},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21489939093589783},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08020606637001038}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.9392665028572083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7769558429718018},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6454704403877258},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.506056010723114},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.4943828582763672},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.4610011577606201},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4530588388442993},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21489939093589783},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08020606637001038},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit50566.2022.9834713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834713","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1516903196","https://openalex.org/W1604615751","https://openalex.org/W1872473787","https://openalex.org/W1873763122","https://openalex.org/W2787248994","https://openalex.org/W2810834533","https://openalex.org/W2950321888","https://openalex.org/W2950346378","https://openalex.org/W2963965291","https://openalex.org/W2964162474","https://openalex.org/W2967889168","https://openalex.org/W3044482596","https://openalex.org/W3044755947","https://openalex.org/W3128083813","https://openalex.org/W3159560790","https://openalex.org/W3184209750","https://openalex.org/W3212101131","https://openalex.org/W4205228770","https://openalex.org/W4211030719","https://openalex.org/W4287324286","https://openalex.org/W4287549027","https://openalex.org/W4289117554","https://openalex.org/W4289655333","https://openalex.org/W4292022450","https://openalex.org/W4295358171","https://openalex.org/W6630841318","https://openalex.org/W6639246211","https://openalex.org/W6728975057","https://openalex.org/W6751920018","https://openalex.org/W6753116055","https://openalex.org/W6757288671","https://openalex.org/W6780902911","https://openalex.org/W6781605033","https://openalex.org/W6787743867","https://openalex.org/W6791342933","https://openalex.org/W6791673544","https://openalex.org/W6795487366","https://openalex.org/W6799183369","https://openalex.org/W6803707295","https://openalex.org/W6857919511"],"related_works":["https://openalex.org/W3041656022","https://openalex.org/W4280591108","https://openalex.org/W4387042211","https://openalex.org/W3175367179","https://openalex.org/W3101329503","https://openalex.org/W4221146017","https://openalex.org/W2981981504","https://openalex.org/W4289655333","https://openalex.org/W2884869850","https://openalex.org/W4200413214"],"abstract_inverted_index":{"Traditionally,":[0],"an":[1],"item-level":[2],"differential":[3,58],"privacy":[4,39,59],"framework":[5,50],"has":[6,18],"been":[7],"studied":[8],"for":[9,89],"applications":[10],"in":[11],"distributed":[12,47,69,76,90],"learning.":[13],"However,":[14],"when":[15],"a":[16,31,46,67],"client":[17],"multiple":[19],"data":[20],"samples,":[21],"and":[22,61],"might":[23],"want":[24],"to":[25,84],"also":[26],"hide":[27],"its":[28],"potential":[29],"participation,":[30],"more":[32],"appropriate":[33],"notion":[34],"is":[35,64],"that":[36,51],"of":[37],"user-level":[38,56,70],"[1].":[40],"In":[41],"this":[42,82],"paper,":[43],"we":[44],"develop":[45,85],"private":[48,71,77],"optimization":[49],"studies":[52],"the":[53,86],"trade-off":[54,88],"between":[55],"local":[57],"guarantees":[60],"performance.":[62],"This":[63],"enabled":[65],"by":[66],"novel":[68],"mean":[72],"estimation":[73],"algorithm":[74],"using":[75],"heavy-hitter":[78],"estimation.":[79],"We":[80],"use":[81],"result":[83],"privacy-performance":[87],"optimization.":[91]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}