{"id":"https://openalex.org/W4221156816","doi":"https://doi.org/10.1109/ciss53076.2022.9751178","title":"On Distributed Lossy Coding of Symmetrically Correlated Gaussian Sources","display_name":"On Distributed Lossy Coding of Symmetrically Correlated Gaussian Sources","publication_year":2022,"publication_date":"2022-03-09","ids":{"openalex":"https://openalex.org/W4221156816","doi":"https://doi.org/10.1109/ciss53076.2022.9751178"},"language":"en","primary_location":{"id":"doi:10.1109/ciss53076.2022.9751178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss53076.2022.9751178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th Annual Conference on Information Sciences and Systems (CISS)","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/A5009142568","display_name":"Siyao Zhou","orcid":"https://orcid.org/0009-0005-9352-443X"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Siyao Zhou","raw_affiliation_strings":["McMaster University,Electrical and Computer Engineering Department,Hamilton,Canada","Electrical and Computer Engineering Department, McMaster University, Hamilton, Canada"],"affiliations":[{"raw_affiliation_string":"McMaster University,Electrical and Computer Engineering Department,Hamilton,Canada","institution_ids":["https://openalex.org/I98251732"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, McMaster University, Hamilton, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010648032","display_name":"Sadaf Salehkalaibar","orcid":"https://orcid.org/0000-0003-1227-3797"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sadaf Salehkalaibar","raw_affiliation_strings":["McMaster University,Electrical and Computer Engineering Department,Hamilton,Canada","Electrical and Computer Engineering Department, McMaster University, Hamilton, Canada"],"affiliations":[{"raw_affiliation_string":"McMaster University,Electrical and Computer Engineering Department,Hamilton,Canada","institution_ids":["https://openalex.org/I98251732"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, McMaster University, Hamilton, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054746483","display_name":"Jingjing Qian","orcid":"https://orcid.org/0000-0003-4624-9963"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jingjing Qian","raw_affiliation_strings":["McMaster University,Electrical and Computer Engineering Department,Hamilton,Canada","Electrical and Computer Engineering Department, McMaster University, Hamilton, Canada"],"affiliations":[{"raw_affiliation_string":"McMaster University,Electrical and Computer Engineering Department,Hamilton,Canada","institution_ids":["https://openalex.org/I98251732"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, McMaster University, Hamilton, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053479642","display_name":"Jun Chen","orcid":"https://orcid.org/0000-0001-6926-8118"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jun Chen","raw_affiliation_strings":["McMaster University,Electrical and Computer Engineering Department,Hamilton,Canada","Electrical and Computer Engineering Department, McMaster University, Hamilton, Canada"],"affiliations":[{"raw_affiliation_string":"McMaster University,Electrical and Computer Engineering Department,Hamilton,Canada","institution_ids":["https://openalex.org/I98251732"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, McMaster University, Hamilton, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084179015","display_name":"Wuxian Shi","orcid":"https://orcid.org/0000-0003-4771-4601"},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wuxian Shi","raw_affiliation_strings":["Ottawa Research Center, Huawei Technologies,Ottawa,Canada","Ottawa Research Center, Huawei Technologies, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"Ottawa Research Center, Huawei Technologies,Ottawa,Canada","institution_ids":["https://openalex.org/I4210115038"]},{"raw_affiliation_string":"Ottawa Research Center, Huawei Technologies, Ottawa, Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079724642","display_name":"Yiqun Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yiqun Ge","raw_affiliation_strings":["Ottawa Research Center, Huawei Technologies,Ottawa,Canada","Ottawa Research Center, Huawei Technologies, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"Ottawa Research Center, Huawei Technologies,Ottawa,Canada","institution_ids":["https://openalex.org/I4210115038"]},{"raw_affiliation_string":"Ottawa Research Center, Huawei Technologies, Ottawa, Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028423074","display_name":"Wen Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wen Tong","raw_affiliation_strings":["Ottawa Research Center, Huawei Technologies,Ottawa,Canada","Ottawa Research Center, Huawei Technologies, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"Ottawa Research Center, Huawei Technologies,Ottawa,Canada","institution_ids":["https://openalex.org/I4210115038"]},{"raw_affiliation_string":"Ottawa Research Center, Huawei Technologies, Ottawa, Canada","institution_ids":["https://openalex.org/I4210115038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5009142568"],"corresponding_institution_ids":["https://openalex.org/I98251732"],"apc_list":null,"apc_paid":null,"fwci":0.0915,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37525002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"119","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":1.0,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9957000017166138,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9850999712944031,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.7437489628791809},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7075998783111572},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.7056463956832886},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.642495334148407},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6339964270591736},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5809931755065918},{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.46297380328178406},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.4619723856449127},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.45623067021369934},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4444543421268463},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43741321563720703},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.404822438955307},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3946002721786499},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.3913407623767853},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2094028890132904},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.18113461136817932},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15244802832603455},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12612923979759216}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.7437489628791809},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7075998783111572},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.7056463956832886},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.642495334148407},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6339964270591736},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5809931755065918},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.46297380328178406},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.4619723856449127},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45623067021369934},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4444543421268463},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43741321563720703},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.404822438955307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3946002721786499},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.3913407623767853},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2094028890132904},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.18113461136817932},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15244802832603455},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12612923979759216},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss53076.2022.9751178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss53076.2022.9751178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1987570312","https://openalex.org/W2027121408","https://openalex.org/W2068143054","https://openalex.org/W2095812090","https://openalex.org/W2096704225","https://openalex.org/W2099213070","https://openalex.org/W2121173360","https://openalex.org/W2141356835","https://openalex.org/W2149094627","https://openalex.org/W2172236196","https://openalex.org/W2885421144","https://openalex.org/W4221156816","https://openalex.org/W4300840296"],"related_works":["https://openalex.org/W1995805316","https://openalex.org/W2387503788","https://openalex.org/W3105521949","https://openalex.org/W2950221323","https://openalex.org/W2990618454","https://openalex.org/W2002925467","https://openalex.org/W1999453492","https://openalex.org/W2558241623","https://openalex.org/W1993284392","https://openalex.org/W2166725394"],"abstract_inverted_index":{"In":[0],"this":[1,88],"paper,":[2],"we":[3],"consider":[4],"a":[5,16,21,25,34,47,103,113],"distributed":[6],"lossy":[7],"compression":[8,85],"network":[9,89],"with":[10,40],"<tex":[11,146],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[12,147],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$L$</tex>":[13,148],"encoders":[14],"and":[15,23,66,138,150],"decoder.":[17,30],"Each":[18],"encoder":[19],"observes":[20],"source":[22],"sends":[24],"compressed":[26],"version":[27],"to":[28,153],"the":[29,41,54,61,83,91,98,107,120,129,136,144],"The":[31,132],"decoder":[32],"produces":[33],"joint":[35],"reconstruction":[36],"of":[37,63,87,128,135],"target":[38,64],"signals":[39,65],"mean":[42],"squared":[43],"error":[44],"distortion":[45,92,130],"below":[46],"given":[48],"threshold.":[49,131],"It":[50],"is":[51,95],"assumed":[52],"that":[53],"observed":[55],"sources":[56],"can":[57],"be":[58],"expressed":[59],"as":[60,97],"sum":[62],"corruptive":[67],"noises":[68],"which":[69,94],"are":[70,80,141,151],"independently":[71],"generated":[72],"from":[73],"two":[74],"symmetric":[75],"multivariate":[76],"Gaussian":[77],"distributions.":[78],"We":[79,101],"interested":[81],"in":[82,143],"minimum":[84],"rate":[86],"versus":[90],"threshold,":[93],"known":[96],"rate-distortion":[99,108],"function.":[100],"derive":[102],"lower":[104,117,139],"bound":[105,118,124],"on":[106],"function":[109],"by":[110],"explicitly":[111],"solving":[112],"max-min":[114],"problem.":[115],"Our":[116],"matches":[119],"well-known":[121],"Berger-Tung":[122],"upper":[123,137],"for":[125],"some":[126],"values":[127],"asymptotic":[133],"expressions":[134],"bounds":[140],"derived":[142],"large":[145],"limit":[149],"shown":[152],"coincide":[154],"under":[155],"specific":[156],"constraints.":[157]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
