{"id":"https://openalex.org/W4407448895","doi":"https://doi.org/10.1109/tsp.2025.3541569","title":"Theoretical Bounds in Decentralized Hypothesis Testing","display_name":"Theoretical Bounds in Decentralized Hypothesis Testing","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407448895","doi":"https://doi.org/10.1109/tsp.2025.3541569"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2025.3541569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2025.3541569","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","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/A5009166868","display_name":"G\u00f6khan G\u00fcl","orcid":"https://orcid.org/0000-0003-2819-3222"},"institutions":[{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]},{"id":"https://openalex.org/I4210094062","display_name":"University Medical Center of the Johannes Gutenberg University Mainz","ror":"https://ror.org/00q1fsf04","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210094062"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"G\u00f6khan G\u00fcl","raw_affiliation_strings":["Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center Mainz, Johannes Gutenberg University Mainz, Mainz, Germany","Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center Mainz, Johannes Gutenberg University Mainz, Germany"],"affiliations":[{"raw_affiliation_string":"Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center Mainz, Johannes Gutenberg University Mainz, Mainz, Germany","institution_ids":["https://openalex.org/I4210094062","https://openalex.org/I197323543"]},{"raw_affiliation_string":"Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center Mainz, Johannes Gutenberg University Mainz, Germany","institution_ids":["https://openalex.org/I4210094062","https://openalex.org/I197323543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5009166868"],"corresponding_institution_ids":["https://openalex.org/I197323543","https://openalex.org/I4210094062"],"apc_list":null,"apc_paid":null,"fwci":2.8414,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89422691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"73","issue":null,"first_page":"1110","last_page":"1121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.5802000164985657,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.5802000164985657,"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/computer-science","display_name":"Computer science","score":0.5298780202865601},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.4191140830516815},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.32573187351226807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3092624247074127},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2368735671043396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5298780202865601},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.4191140830516815},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.32573187351226807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3092624247074127},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2368735671043396}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2025.3541569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2025.3541569","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1525038591","https://openalex.org/W1986327434","https://openalex.org/W2004326660","https://openalex.org/W2036223844","https://openalex.org/W2042587503","https://openalex.org/W2069595316","https://openalex.org/W2071080750","https://openalex.org/W2102931639","https://openalex.org/W2104478296","https://openalex.org/W2106540768","https://openalex.org/W2107162142","https://openalex.org/W2115758294","https://openalex.org/W2134705853","https://openalex.org/W2134931138","https://openalex.org/W2137526381","https://openalex.org/W2144052787","https://openalex.org/W2167620003","https://openalex.org/W2293385843","https://openalex.org/W2343423135","https://openalex.org/W2734847417","https://openalex.org/W2963617774","https://openalex.org/W3116505327","https://openalex.org/W3160532080","https://openalex.org/W3213647426","https://openalex.org/W4289655476"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027"],"abstract_inverted_index":{"Three":[0],"fundamental":[1],"problems":[2,66,152,162],"are":[3,67,87,153,163],"addressed":[4],"for":[5,62],"distributed":[6],"detection":[7],"networks":[8,30],"regarding":[9],"the":[10,22,38,50,70,73,102,109,132,135,144,169],"maximum":[11,145],"of":[12,24,40,52,126,134,138],"performance/detection":[13],"loss.":[14,146],"The":[15,81,160],"losses":[16],"obtained":[17],"are,":[18],"first,":[19],"due":[20,36,48],"to":[21,37,49,69,101,142,155,167],"choice":[23,39,51],"decision":[25],"rule":[26,54],"in":[27,129],"parallel":[28],"sensor":[29],"(general-case":[31],"vs":[32,44,56],"identical":[33],"decisions),":[34],"second,":[35],"network":[41],"architecture":[42],"(serial":[43],"parallel),":[45],"and":[46],"third,":[47],"quantization":[53],"(centralized":[55],"decentralized).":[57],"Previous":[58],"results,":[59],"if":[60],"available,":[61],"all":[63,97],"these":[64,148],"three":[65],"restricted":[68],"statement":[71],"that":[72],"loss":[74],"is":[75,93,140],"\u201csmall\u201d":[76],"over":[77],"some":[78],"specific":[79],"examples.":[80],"key":[82],"principles":[83],"underlying":[84],"this":[85],"study":[86],"delineated":[88],"as":[89],"follows.":[90],"First,":[91],"there":[92],"a":[94,123],"surjection":[95],"from":[96],"simple":[98],"hypothesis":[99],"tests":[100],"receiver":[103],"operating":[104],"characteristic":[105],"(ROC)":[106],"curve.":[107],"Second,":[108],"ROC":[110],"can":[111],"be":[112],"well":[113],"modeled":[114],"with":[115,121],"linear":[116],"splines.":[117],"Third,":[118],"considering":[119],"splines":[120],"only":[122],"finite":[124],"number":[125,137],"line":[127],"segments,":[128],"fact,":[130],"on":[131],"order":[133],"total":[136],"sensors,":[139],"sufficient":[141],"determine":[143],"Leveraging":[147],"principles,":[149],"infinite-dimensional":[150],"optimization":[151],"reduced":[154],"their":[156],"finite-dimensional":[157],"equivalent":[158,161],"forms.":[159],"then":[164],"numerically":[165],"solved":[166],"obtain":[168],"theoretical":[170],"bounds.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}