{"id":"https://openalex.org/W2906221980","doi":"https://doi.org/10.1109/tcomm.2019.2957080","title":"Structure Learning of Sparse GGMs Over Multiple Access Networks","display_name":"Structure Learning of Sparse GGMs Over Multiple Access Networks","publication_year":2019,"publication_date":"2019-12-02","ids":{"openalex":"https://openalex.org/W2906221980","doi":"https://doi.org/10.1109/tcomm.2019.2957080","mag":"2906221980"},"language":"en","primary_location":{"id":"doi:10.1109/tcomm.2019.2957080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2019.2957080","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1812.10437","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026979268","display_name":"Mostafa Tavassolipour","orcid":"https://orcid.org/0000-0003-0662-0115"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mostafa Tavassolipour","raw_affiliation_strings":["Sharif University of Technology, Tehran, Iran","Computer Engineering Department Sharif University of Technology, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0003-0662-0115","affiliations":[{"raw_affiliation_string":"Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]},{"raw_affiliation_string":"Computer Engineering Department Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078757253","display_name":"Armin Karamzade","orcid":"https://orcid.org/0000-0002-9323-5161"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Armin Karamzade","raw_affiliation_strings":["Sharif University of Technology, Tehran, Iran","Computer Engineering Department Sharif University of Technology, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0002-9323-5161","affiliations":[{"raw_affiliation_string":"Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]},{"raw_affiliation_string":"Computer Engineering Department Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041742905","display_name":"Reza Mirzaeifard","orcid":"https://orcid.org/0000-0002-0720-0027"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Reza Mirzaeifard","raw_affiliation_strings":["Sharif University of Technology, Tehran, Iran","Computer Engineering Department Sharif University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]},{"raw_affiliation_string":"Computer Engineering Department Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043842702","display_name":"Seyed Abolfazl Motahari","orcid":"https://orcid.org/0000-0002-7639-0362"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Seyed Abolfazl Motahari","raw_affiliation_strings":["Sharif University of Technology, Tehran, Iran","Computer Engineering Department Sharif University of Technology, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0002-7639-0362","affiliations":[{"raw_affiliation_string":"Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]},{"raw_affiliation_string":"Computer Engineering Department Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":null,"display_name":"Mohammad-Taghi Manzuri Shalmani","orcid":null},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad-Taghi Manzuri Shalmani","raw_affiliation_strings":["Sharif University of Technology, Tehran, Iran","Computer Engineering Department Sharif University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]},{"raw_affiliation_string":"Computer Engineering Department Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00959702,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"68","issue":"2","first_page":"987","last_page":"997"},"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":0.9986000061035156,"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":0.9986000061035156,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.998199999332428,"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/T10320","display_name":"Neural Networks and Applications","score":0.9969000220298767,"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":0.7290530204772949},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5121839046478271},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4666571319103241},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4577878713607788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4345669746398926},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.43410399556159973},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4269855320453644},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.41383060812950134},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.41252392530441284},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33531832695007324},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3276170492172241},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14833536744117737},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07637423276901245}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7290530204772949},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5121839046478271},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4666571319103241},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4577878713607788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4345669746398926},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.43410399556159973},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4269855320453644},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.41383060812950134},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.41252392530441284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33531832695007324},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3276170492172241},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14833536744117737},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07637423276901245},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tcomm.2019.2957080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2019.2957080","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1812.10437","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.10437","pdf_url":"https://arxiv.org/pdf/1812.10437","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2906221980","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1812.10437.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1812.10437","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1812.10437","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1812.10437","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.10437","pdf_url":"https://arxiv.org/pdf/1812.10437","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2906221980.pdf","grobid_xml":"https://content.openalex.org/works/W2906221980.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W125706094","https://openalex.org/W1523985187","https://openalex.org/W1567728150","https://openalex.org/W1963522244","https://openalex.org/W1993418188","https://openalex.org/W1997834106","https://openalex.org/W1998803423","https://openalex.org/W2010824638","https://openalex.org/W2012436088","https://openalex.org/W2076037741","https://openalex.org/W2077042258","https://openalex.org/W2079362249","https://openalex.org/W2079947444","https://openalex.org/W2097581234","https://openalex.org/W2117245428","https://openalex.org/W2119862467","https://openalex.org/W2124988974","https://openalex.org/W2131242330","https://openalex.org/W2132555912","https://openalex.org/W2135046866","https://openalex.org/W2163166770","https://openalex.org/W2166293769","https://openalex.org/W2345484705","https://openalex.org/W2475483933","https://openalex.org/W2574314926","https://openalex.org/W2800440924","https://openalex.org/W2891030779","https://openalex.org/W2891328086","https://openalex.org/W2902451516","https://openalex.org/W2913504135","https://openalex.org/W2962686479","https://openalex.org/W2962971803","https://openalex.org/W2963473808","https://openalex.org/W2964287564","https://openalex.org/W2973203304","https://openalex.org/W3106319742","https://openalex.org/W6605051479","https://openalex.org/W6630078978","https://openalex.org/W6677957080","https://openalex.org/W6679560219","https://openalex.org/W6682227116","https://openalex.org/W6684583874","https://openalex.org/W6751729605","https://openalex.org/W6760522566","https://openalex.org/W6764728530"],"related_works":["https://openalex.org/W2998625912","https://openalex.org/W2613181453","https://openalex.org/W2758463385","https://openalex.org/W3088427272","https://openalex.org/W3044469112","https://openalex.org/W3014407784","https://openalex.org/W3108591189","https://openalex.org/W2922034559","https://openalex.org/W2950978476","https://openalex.org/W3084422963","https://openalex.org/W2962249778","https://openalex.org/W3081045327","https://openalex.org/W2760100285","https://openalex.org/W3212109140","https://openalex.org/W3177620410","https://openalex.org/W3015898845","https://openalex.org/W3206591924","https://openalex.org/W2951178704","https://openalex.org/W2164961985","https://openalex.org/W301974520"],"abstract_inverted_index":{"A":[0],"central":[1,32,96,121],"machine":[2,33,97,122],"is":[3,53,87,101],"interested":[4,45],"in":[5,46],"estimating":[6],"the":[7,31,69,72,92,95,99,104,108,118,124,130,140,154,157,161],"underlying":[8],"structure":[9,100,141],"of":[10,156],"a":[11,18,35,146],"sparse":[12],"Gaussian":[13],"Graphical":[14],"Model":[15],"(GGM)":[16],"from":[17,103],"dataset":[19],"distributed":[20],"across":[21],"multiple":[22,37],"local":[23,26,73],"machines.":[24],"The":[25,120],"machines":[27,74],"can":[28,138],"communicate":[29],"with":[30,142],"through":[34,117],"wireless":[36],"access":[38],"channel.":[39,119],"In":[40,68,107],"this":[41],"paper,":[42],"we":[43],"are":[44,62,113],"designing":[47],"effective":[48],"strategies":[49],"where":[50,98],"reliable":[51],"learning":[52],"feasible":[54],"under":[55,164],"power":[56],"and":[57,65,81,115],"bandwidth":[58],"limitations.":[59],"Two":[60],"approaches":[61],"proposed:":[63],"Signs":[64,70,158],"Uncoded":[66,109,162],"methods.":[67],"method,":[71,110],"quantize":[75],"their":[76],"data":[77,111],"into":[78],"binary":[79],"vectors":[80,93],"an":[82],"optimal":[83],"channel":[84],"coding":[85],"scheme":[86],"used":[88],"to":[89,94,128],"reliably":[90],"send":[91],"learned":[102],"received":[105,125],"data.":[106],"symbols":[112,127],"scaled":[114],"transmitted":[116],"uses":[123],"noisy":[126],"recover":[129,139],"structure.":[131],"Theoretical":[132],"results":[133,152],"show":[134],"that":[135],"both":[136],"methods":[137],"high":[143],"probability":[144],"for":[145],"large":[147],"enough":[148],"sample":[149],"size.":[150],"Experimental":[151],"indicate":[153],"superiority":[155],"method":[159,163],"over":[160],"several":[165],"circumstances.":[166]},"counts_by_year":[],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2025-10-10T00:00:00"}