{"id":"https://openalex.org/W3095848714","doi":"https://doi.org/10.3390/e22111237","title":"Information Bottleneck Classification in Extremely Distributed Systems","display_name":"Information Bottleneck Classification in Extremely Distributed Systems","publication_year":2020,"publication_date":"2020-10-30","ids":{"openalex":"https://openalex.org/W3095848714","doi":"https://doi.org/10.3390/e22111237","mag":"3095848714","pmid":"https://pubmed.ncbi.nlm.nih.gov/33287005"},"language":"en","primary_location":{"id":"doi:10.3390/e22111237","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22111237","pdf_url":"https://www.mdpi.com/1099-4300/22/11/1237/pdf?version=1604460114","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/22/11/1237/pdf?version=1604460114","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008823044","display_name":"Denis Ullmann","orcid":"https://orcid.org/0000-0002-7179-005X"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Denis Ullmann","raw_affiliation_strings":["SIP\u2014Stochastic Information Processing Group, Computer Science Department CUI, University of Geneva, Route de Drize 7, 1227 Carouge, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-7179-005X","affiliations":[{"raw_affiliation_string":"SIP\u2014Stochastic Information Processing Group, Computer Science Department CUI, University of Geneva, Route de Drize 7, 1227 Carouge, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026953476","display_name":"Shideh Rezaeifar","orcid":"https://orcid.org/0000-0002-8103-3722"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Shideh Rezaeifar","raw_affiliation_strings":["SIP\u2014Stochastic Information Processing Group, Computer Science Department CUI, University of Geneva, Route de Drize 7, 1227 Carouge, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-8103-3722","affiliations":[{"raw_affiliation_string":"SIP\u2014Stochastic Information Processing Group, Computer Science Department CUI, University of Geneva, Route de Drize 7, 1227 Carouge, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008678783","display_name":"Olga Taran","orcid":"https://orcid.org/0000-0001-8537-5204"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Olga Taran","raw_affiliation_strings":["SIP\u2014Stochastic Information Processing Group, Computer Science Department CUI, University of Geneva, Route de Drize 7, 1227 Carouge, Switzerland"],"raw_orcid":"https://orcid.org/0000-0001-8537-5204","affiliations":[{"raw_affiliation_string":"SIP\u2014Stochastic Information Processing Group, Computer Science Department CUI, University of Geneva, Route de Drize 7, 1227 Carouge, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030544448","display_name":"Taras Holotyak","orcid":"https://orcid.org/0009-0002-2490-0276"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Taras Holotyak","raw_affiliation_strings":["SIP\u2014Stochastic Information Processing Group, Computer Science Department CUI, University of Geneva, Route de Drize 7, 1227 Carouge, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SIP\u2014Stochastic Information Processing Group, Computer Science Department CUI, University of Geneva, Route de Drize 7, 1227 Carouge, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024352463","display_name":"Brandon Panos","orcid":"https://orcid.org/0000-0002-7096-7941"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Brandon Panos","raw_affiliation_strings":["SIP\u2014Stochastic Information Processing Group, Computer Science Department CUI, University of Geneva, Route de Drize 7, 1227 Carouge, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-7096-7941","affiliations":[{"raw_affiliation_string":"SIP\u2014Stochastic Information Processing Group, Computer Science Department CUI, University of Geneva, Route de Drize 7, 1227 Carouge, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091506990","display_name":"Slava Voloshynovskiy","orcid":"https://orcid.org/0000-0003-0416-9674"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Slava Voloshynovskiy","raw_affiliation_strings":["SIP\u2014Stochastic Information Processing Group, Computer Science Department CUI, University of Geneva, Route de Drize 7, 1227 Carouge, Switzerland"],"raw_orcid":"https://orcid.org/0000-0003-0416-9674","affiliations":[{"raw_affiliation_string":"SIP\u2014Stochastic Information Processing Group, Computer Science Department CUI, University of Geneva, Route de Drize 7, 1227 Carouge, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5091506990"],"corresponding_institution_ids":["https://openalex.org/I114457229"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.7194,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67010089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"22","issue":"11","first_page":"1237","last_page":"1237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991000294685364,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9986000061035156,"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":0.9977999925613403,"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/mnist-database","display_name":"MNIST database","score":0.871149480342865},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7925283908843994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7823657989501953},{"id":"https://openalex.org/keywords/information-bottleneck-method","display_name":"Information bottleneck method","score":0.7201145887374878},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6794769763946533},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.664169430732727},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5563077926635742},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5354239344596863},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4699212312698364},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4526630640029907},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.448742151260376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4400979280471802},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4126244783401489},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3890976011753082},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28939974308013916},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.25306397676467896},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.12377336621284485}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.871149480342865},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7925283908843994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7823657989501953},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.7201145887374878},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6794769763946533},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.664169430732727},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5563077926635742},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5354239344596863},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4699212312698364},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4526630640029907},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.448742151260376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4400979280471802},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4126244783401489},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3890976011753082},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28939974308013916},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25306397676467896},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.12377336621284485},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e22111237","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22111237","pdf_url":"https://www.mdpi.com/1099-4300/22/11/1237/pdf?version=1604460114","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:33287005","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33287005","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:3d3ebf30dd3b42509ff7b9d32ddd70e3","is_oa":true,"landing_page_url":"https://doaj.org/article/3d3ebf30dd3b42509ff7b9d32ddd70e3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 22, Iss 11, p 1237 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/22/11/1237/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e22111237","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 22; Issue 11; Pages: 1237","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7711965","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7711965","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e22111237","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22111237","pdf_url":"https://www.mdpi.com/1099-4300/22/11/1237/pdf?version=1604460114","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1793327029","display_name":null,"funder_award_id":"200021_182063","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G4752675320","display_name":null,"funder_award_id":"407540_167158","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3095848714.pdf","grobid_xml":"https://content.openalex.org/works/W3095848714.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1572063013","https://openalex.org/W1782590233","https://openalex.org/W1970088130","https://openalex.org/W1994906459","https://openalex.org/W2007339694","https://openalex.org/W2072072671","https://openalex.org/W2100495367","https://openalex.org/W2108598243","https://openalex.org/W2152161678","https://openalex.org/W2181908415","https://openalex.org/W2182396527","https://openalex.org/W2272460433","https://openalex.org/W2283463896","https://openalex.org/W2523714292","https://openalex.org/W2541884796","https://openalex.org/W2557579533","https://openalex.org/W2603142085","https://openalex.org/W2616274621","https://openalex.org/W2624978294","https://openalex.org/W2724955321","https://openalex.org/W2743289088","https://openalex.org/W2750384547","https://openalex.org/W2759474451","https://openalex.org/W2793130633","https://openalex.org/W2807006176","https://openalex.org/W2849120009","https://openalex.org/W2886444620","https://openalex.org/W2923172917","https://openalex.org/W2949416428","https://openalex.org/W2949982377","https://openalex.org/W2950265320","https://openalex.org/W2951004968","https://openalex.org/W2963049059","https://openalex.org/W2963061824","https://openalex.org/W2963392896","https://openalex.org/W2963470893","https://openalex.org/W2963490109","https://openalex.org/W2964184826","https://openalex.org/W2977825026","https://openalex.org/W2978110818","https://openalex.org/W2990172791","https://openalex.org/W2998045710","https://openalex.org/W3002698229","https://openalex.org/W3011690230","https://openalex.org/W3035453001","https://openalex.org/W3037204200","https://openalex.org/W3170786000","https://openalex.org/W3189092450"],"related_works":["https://openalex.org/W4401325445","https://openalex.org/W2622284819","https://openalex.org/W1504394672","https://openalex.org/W3089381707","https://openalex.org/W4285254085","https://openalex.org/W3034190530","https://openalex.org/W2741297526","https://openalex.org/W2129146436","https://openalex.org/W4295728955","https://openalex.org/W2032507829"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,9,28,43,56,68,72,76,112,116,123,171,183],"new":[3],"decentralized":[4],"classification":[5,35,132],"system":[6,13,65,153,181],"based":[7,61],"on":[8,62,85,187],"distributed":[10,16,168],"architecture.":[11],"This":[12],"consists":[14],"of":[15,40,55,67,126],"nodes,":[17],"each":[18],"possessing":[19],"their":[20],"own":[21,52],"datasets":[22,189],"and":[23,36,75,114,161,193],"computing":[24],"modules,":[25],"along":[26],"with":[27,48,144],"centralized":[29,137],"server,":[30],"which":[31,91],"provides":[32],"probes":[33],"to":[34,50,122,151,174],"aggregates":[37],"the":[38,86,92,127,136,142,145,152,166,175],"responses":[39],"nodes":[41],"for":[42,90,141,155],"final":[44,131],"decision.":[45],"Each":[46],"node,":[47],"access":[49],"its":[51],"training":[53],"dataset":[54],"given":[57],"class,":[58],"is":[59,95,111,118,133],"trained":[60],"an":[63,99],"auto-encoder":[64],"consisting":[66],"fixed":[69],"data-independent":[70],"encoder,":[71],"pre-trained":[73],"quantizer":[74],"class-dependent":[77],"decoder.":[78],"Hence,":[79],"these":[80],"auto-encoders":[81],"are":[82],"highly":[83],"dependent":[84],"class":[87,143],"probability":[88],"distribution":[89],"reconstruction":[93,128,147],"distortion":[94],"minimized.":[96],"Alternatively,":[97],"when":[98],"encoding\u2013quantizing\u2013decoding":[100],"node":[101],"observes":[102],"data":[103],"from":[104],"different":[105],"distributions,":[106],"unseen":[107],"at":[108,135],"training,":[109],"there":[110],"mismatch,":[113],"such":[115,190],"decoding":[117],"not":[119],"optimal,":[120],"leading":[121],"significant":[124],"increase":[125],"distortion.":[129,148],"The":[130,179],"performed":[134],"classifier":[138],"that":[139],"votes":[140],"minimum":[146],"In":[149],"addition":[150],"applicability":[154],"applications":[156],"facing":[157],"big-data":[158],"communication":[159],"problems":[160],"or":[162],"requiring":[163],"private":[164],"classification,":[165],"above":[167],"scheme":[169],"creates":[170],"theoretical":[172],"bridge":[173],"information":[176],"bottleneck":[177],"principle.":[178],"proposed":[180],"demonstrates":[182],"very":[184],"promising":[185],"performance":[186],"basic":[188],"as":[191],"MNIST":[192],"FasionMNIST.":[194]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}