{"id":"https://openalex.org/W4386072030","doi":"https://doi.org/10.1109/isit54713.2023.10206904","title":"Sample-and-Forward: Communication-Efficient Control of the False Discovery Rate in Networks","display_name":"Sample-and-Forward: Communication-Efficient Control of the False Discovery Rate in Networks","publication_year":2023,"publication_date":"2023-06-25","ids":{"openalex":"https://openalex.org/W4386072030","doi":"https://doi.org/10.1109/isit54713.2023.10206904"},"language":"en","primary_location":{"id":"doi:10.1109/isit54713.2023.10206904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit54713.2023.10206904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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/A5080127309","display_name":"Mehrdad Pournaderi","orcid":"https://orcid.org/0000-0003-2858-4952"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mehrdad Pournaderi","raw_affiliation_strings":["University of Utah,Department of Electrical and Computer Engineering,Salt Lake City,UT,USA,84112"],"affiliations":[{"raw_affiliation_string":"University of Utah,Department of Electrical and Computer Engineering,Salt Lake City,UT,USA,84112","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100321699","display_name":"Xiang Yu","orcid":"https://orcid.org/0000-0003-2765-2749"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Xiang","raw_affiliation_strings":["University of Utah,Department of Electrical and Computer Engineering,Salt Lake City,UT,USA,84112"],"affiliations":[{"raw_affiliation_string":"University of Utah,Department of Electrical and Computer Engineering,Salt Lake City,UT,USA,84112","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080127309"],"corresponding_institution_ids":["https://openalex.org/I223532165"],"apc_list":null,"apc_paid":null,"fwci":0.6027,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68220149,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1949","last_page":"1954"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9983999729156494,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/false-discovery-rate","display_name":"False discovery rate","score":0.8717647194862366},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.698850154876709},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6543895602226257},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.6201357841491699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6017860174179077},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5714401006698608},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5476629734039307},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4832366406917572},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4789493680000305},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.45021703839302063},{"id":"https://openalex.org/keywords/multiple-comparisons-problem","display_name":"Multiple comparisons problem","score":0.41801464557647705},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30525362491607666},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2667838931083679},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1974634826183319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1291610300540924},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12149760127067566},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07894930243492126}],"concepts":[{"id":"https://openalex.org/C193244246","wikidata":"https://www.wikidata.org/wiki/Q5432696","display_name":"False discovery rate","level":3,"score":0.8717647194862366},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.698850154876709},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6543895602226257},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.6201357841491699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6017860174179077},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5714401006698608},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5476629734039307},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4832366406917572},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4789493680000305},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.45021703839302063},{"id":"https://openalex.org/C183905921","wikidata":"https://www.wikidata.org/wiki/Q1038757","display_name":"Multiple comparisons problem","level":2,"score":0.41801464557647705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30525362491607666},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2667838931083679},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1974634826183319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1291610300540924},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12149760127067566},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07894930243492126},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit54713.2023.10206904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit54713.2023.10206904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1547358136","https://openalex.org/W1596515083","https://openalex.org/W1635341812","https://openalex.org/W2054622040","https://openalex.org/W2068892642","https://openalex.org/W2070563037","https://openalex.org/W2074089196","https://openalex.org/W2077612540","https://openalex.org/W2098188576","https://openalex.org/W2105381419","https://openalex.org/W2108370778","https://openalex.org/W2110065044","https://openalex.org/W2115758294","https://openalex.org/W2133264613","https://openalex.org/W2134696273","https://openalex.org/W2144052787","https://openalex.org/W2146461364","https://openalex.org/W2163274894","https://openalex.org/W2319338832","https://openalex.org/W2783196728","https://openalex.org/W2965505865","https://openalex.org/W2975371375","https://openalex.org/W3104296680","https://openalex.org/W4226144717","https://openalex.org/W4246536757","https://openalex.org/W4304730653","https://openalex.org/W4382371074","https://openalex.org/W6748112555","https://openalex.org/W6847453962"],"related_works":["https://openalex.org/W4293336298","https://openalex.org/W2467227750","https://openalex.org/W2093104131","https://openalex.org/W2178204436","https://openalex.org/W4300887971","https://openalex.org/W2143079975","https://openalex.org/W2333750400","https://openalex.org/W1986765826","https://openalex.org/W2766832551","https://openalex.org/W1921844237"],"abstract_inverted_index":{"This":[0],"work":[1],"concerns":[2],"controlling":[3],"the":[4,23,37,58,78,82,97,102,110,143],"false":[5],"discovery":[6],"rate":[7],"(FDR)":[8],"in":[9,39],"networks":[10,29],"under":[11,57,137],"communication":[12],"constraints.":[13],"We":[14,130],"present":[15],"sample-and-forward,":[16],"a":[17,40,53,64,67,124,138],"flexible":[18],"and":[19,87],"communication-efficient":[20],"version":[21],"of":[22,69,75,81,135],"Benjamini-Hochberg":[24],"(BH)":[25],"procedure":[26],"for":[27,101],"multihop":[28],"with":[30,66,123],"general":[31],"topologies.":[32],"Our":[33],"method":[34,73,107],"evidences":[35],"that":[36],"nodes":[38],"network":[41,65],"do":[42],"not":[43],"need":[44],"to":[45,48,51,93],"communicate":[46],"p-values":[47,83],"each":[49,85,128],"other":[50],"achieve":[52],"decent":[54],"statistical":[55],"power":[56,136],"global":[59],"FDR":[60,113],"control":[61,114],"constraint.":[62],"Consider":[63],"total":[68],"m":[70],"p-values,":[71],"our":[72,106],"consists":[74],"first":[76],"sampling":[77],"(empirical)":[79],"CDF":[80],"at":[84,127],"node":[86],"then":[88],"forwarding":[89],"O(log":[90],"m)":[91],"bits":[92],"its":[94],"neighbors.":[95],"Under":[96],"same":[98],"assumptions":[99],"as":[100,115,117],"original":[103],"BH":[104],"procedure,":[105],"has":[108],"both":[109],"provable":[111],"finite-sample":[112],"well":[116],"competitive":[118],"empirical":[119],"detection":[120],"power,":[121],"even":[122],"few":[125],"samples":[126],"node.":[129],"provide":[131],"an":[132],"asymptotic":[133],"analysis":[134],"mixture":[139],"model":[140],"assumption":[141],"on":[142],"p-values.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}