{"id":"https://openalex.org/W3186611096","doi":"https://doi.org/10.1109/tit.2022.3182416","title":"Private Remote Sources for Secure Multi-Function Computation","display_name":"Private Remote Sources for Secure Multi-Function Computation","publication_year":2022,"publication_date":"2022-06-13","ids":{"openalex":"https://openalex.org/W3186611096","doi":"https://doi.org/10.1109/tit.2022.3182416","mag":"3186611096"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2022.3182416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2022.3182416","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":["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/A5016620064","display_name":"Onur G\u00fcnl\u00fc","orcid":"https://orcid.org/0000-0002-0313-7788"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Onur Gunlu","raw_affiliation_strings":["Chair of Communications Engineering and Security, University of Siegen, Siegen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-0313-7788","affiliations":[{"raw_affiliation_string":"Chair of Communications Engineering and Security, University of Siegen, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055689993","display_name":"Matthieu R. Bloch","orcid":"https://orcid.org/0000-0001-9315-9050"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthieu Bloch","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0001-9315-9050","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038203207","display_name":"Rafael F. Schaefer","orcid":"https://orcid.org/0000-0002-1702-9075"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rafael F. Schaefer","raw_affiliation_strings":["Chair of Communications Engineering and Security, University of Siegen, Siegen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1702-9075","affiliations":[{"raw_affiliation_string":"Chair of Communications Engineering and Security, University of Siegen, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016620064"],"corresponding_institution_ids":["https://openalex.org/I206895457"],"apc_list":null,"apc_paid":null,"fwci":0.4162,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66214218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"68","issue":"10","first_page":"6826","last_page":"6841"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","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/T10237","display_name":"Cryptography and Data Security","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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.7791433334350586},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.714402973651886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6535079479217529},{"id":"https://openalex.org/keywords/fusion-center","display_name":"Fusion center","score":0.6067617535591125},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5764781832695007},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5579384565353394},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.49940991401672363},{"id":"https://openalex.org/keywords/secrecy","display_name":"Secrecy","score":0.4861449897289276},{"id":"https://openalex.org/keywords/information-bottleneck-method","display_name":"Information bottleneck method","score":0.4699438214302063},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.41141200065612793},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40334010124206543},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.2155027687549591},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.12537091970443726},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.11878848075866699},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11221346259117126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11218330264091492},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11046215891838074},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.09348434209823608}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.7791433334350586},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.714402973651886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6535079479217529},{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.6067617535591125},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5764781832695007},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5579384565353394},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.49940991401672363},{"id":"https://openalex.org/C2776452267","wikidata":"https://www.wikidata.org/wiki/Q1503443","display_name":"Secrecy","level":2,"score":0.4861449897289276},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.4699438214302063},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.41141200065612793},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40334010124206543},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.2155027687549591},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.12537091970443726},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.11878848075866699},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11221346259117126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11218330264091492},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11046215891838074},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.09348434209823608},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.2022.3182416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2022.3182416","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6700000166893005}],"awards":[{"id":"https://openalex.org/G379016537","display_name":null,"funder_award_id":"SCHA 1944/9-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G7099879521","display_name":null,"funder_award_id":"CCF 1955401","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/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W364494856","https://openalex.org/W949353694","https://openalex.org/W1546330602","https://openalex.org/W2005007104","https://openalex.org/W2011261271","https://openalex.org/W2027340571","https://openalex.org/W2032001704","https://openalex.org/W2057124070","https://openalex.org/W2070395973","https://openalex.org/W2088492763","https://openalex.org/W2099111195","https://openalex.org/W2099213070","https://openalex.org/W2119985618","https://openalex.org/W2140227342","https://openalex.org/W2143121893","https://openalex.org/W2144387589","https://openalex.org/W2150412388","https://openalex.org/W2151757972","https://openalex.org/W2152625085","https://openalex.org/W2154175667","https://openalex.org/W2159080219","https://openalex.org/W2159351168","https://openalex.org/W2164014406","https://openalex.org/W2164651000","https://openalex.org/W2178986096","https://openalex.org/W2183321856","https://openalex.org/W2260783129","https://openalex.org/W2309021504","https://openalex.org/W2791184774","https://openalex.org/W2800275367","https://openalex.org/W2887900476","https://openalex.org/W2953001817","https://openalex.org/W2955388057","https://openalex.org/W2963249535","https://openalex.org/W2963862242","https://openalex.org/W3013287444","https://openalex.org/W3080533967","https://openalex.org/W3091927229","https://openalex.org/W3102526553","https://openalex.org/W3102586542","https://openalex.org/W3104710021","https://openalex.org/W3105487184","https://openalex.org/W3116117152","https://openalex.org/W3141585064","https://openalex.org/W3141610964","https://openalex.org/W3198431872","https://openalex.org/W4300188436","https://openalex.org/W4300840296","https://openalex.org/W4302366875","https://openalex.org/W6637108112"],"related_works":["https://openalex.org/W2978432024","https://openalex.org/W2118338613","https://openalex.org/W1995805316","https://openalex.org/W4391584725","https://openalex.org/W3180760233","https://openalex.org/W2071387875","https://openalex.org/W1568381040","https://openalex.org/W2132019419","https://openalex.org/W4205915047","https://openalex.org/W2148203918"],"abstract_inverted_index":{"We":[0,122,160],"consider":[1],"a":[2,14,21,27],"distributed":[3,34],"function":[4,22,35,55,92],"computation":[5,19,36,133,139],"problem":[6],"in":[7,73,111,147,177,191],"which":[8,148,178],"parties":[9],"observing":[10,65],"noisy":[11],"versions":[12],"of":[13,20,23,75,82,89,113],"remote":[15,96,119],"source":[16,97,120],"facilitate":[17],"the":[18,54,66,76,80,83,90,95,104,107,114,118,124,136,149,162,185,192],"their":[24],"observations":[25],"at":[26],"fusion":[28,108],"center":[29],"through":[30],"public":[31,67],"communication.":[32],"The":[33],"is":[37],"subject":[38],"to":[39,85,164],"constraints,":[40,176],"including":[41],"not":[42],"only":[43,190],"reliability":[44],"and":[45,50,69,106,130,134,166,174,181],"storage":[46],"but":[47],"also":[48],"secrecy":[49,87,173],"privacy.":[51],"Specifically,":[52],"1)":[53],"computed":[56],"should":[57,98],"remain":[58,99],"<italic":[59,100],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[60,101],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">secret</i>":[61],"from":[62,103],"an":[63,143],"eavesdropper":[64,105],"communication":[68],"correlated":[70],"observations,":[71],"measured":[72,110],"terms":[74,112],"information":[77,115,144],"leaked":[78,116],"about":[79,117],"arguments":[81],"function,":[84],"ensure":[86],"regardless":[88],"exact":[91,125],"used;":[93],"2)":[94],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">private</i>":[102],"center,":[109],"itself.":[121],"derive":[123],"rate":[126,140,186],"regions":[127,187],"for":[128,142,156,184],"lossless":[129,165],"lossy":[131,137,167],"single-function":[132,138],"illustrate":[135],"region":[141],"bottleneck":[145],"example,":[146],"optimal":[150],"auxiliary":[151],"random":[152],"variables":[153],"are":[154,197],"characterized":[155],"binary-input":[157],"symmetric-output":[158],"channels.":[159],"extend":[161],"approach":[163],"asynchronous":[168],"multiple-function":[169],"computations":[170],"with":[171],"joint":[172],"privacy":[175],"case":[179],"inner":[180],"outer":[182],"bounds":[183],"that":[188],"differ":[189],"Markov":[193],"chain":[194],"conditions":[195],"imposed":[196],"characterized.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
