{"id":"https://openalex.org/W3044143895","doi":"https://doi.org/10.1109/access.2020.3033817","title":"Networked Exponential Families for Big Data Over Networks","display_name":"Networked Exponential Families for Big Data Over Networks","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3044143895","doi":"https://doi.org/10.1109/access.2020.3033817","mag":"3044143895"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3033817","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3033817","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2020.3033817","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006624933","display_name":"Alexander Jung","orcid":"https://orcid.org/0000-0001-7538-0990"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Alexander Jung","raw_affiliation_strings":["Aalto University, Aalto, Finland"],"raw_orcid":"https://orcid.org/0000-0001-7538-0990","affiliations":[{"raw_affiliation_string":"Aalto University, Aalto, Finland","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5006624933"],"corresponding_institution_ids":["https://openalex.org/I9927081"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1441,"currency":"EUR","value_usd":1554},"fwci":1.7987,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8669763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"202897","last_page":"202909"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9979000091552734,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9948999881744385,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9904000163078308,"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":0.7729009985923767},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7079222202301025},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6478234529495239},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5908700227737427},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4967818856239319},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4753841161727905},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41889724135398865},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3887256681919098},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3780282437801361},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37263450026512146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36907076835632324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7729009985923767},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7079222202301025},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6478234529495239},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5908700227737427},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4967818856239319},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4753841161727905},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41889724135398865},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3887256681919098},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3780282437801361},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37263450026512146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36907076835632324},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.3033817","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3033817","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/101478","is_oa":true,"landing_page_url":"https://aaltodoc.aalto.fi/handle/123456789/101478","pdf_url":null,"source":{"id":"https://openalex.org/S4306401662","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:aab2f97b6b8446039030634827d6937d","is_oa":true,"landing_page_url":"https://doaj.org/article/aab2f97b6b8446039030634827d6937d","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":"IEEE Access, Vol 8, Pp 202897-202909 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3033817","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3033817","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6196883971","display_name":"Intelligent Techniques in Condition Monitoring of Electromechanical Energy Conversion Systems","funder_award_id":"331197","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G6302955479","display_name":null,"funder_award_id":"331197","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"}],"funders":[{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W143004564","https://openalex.org/W340056678","https://openalex.org/W391578156","https://openalex.org/W1479807131","https://openalex.org/W1480376833","https://openalex.org/W1523985187","https://openalex.org/W1592294486","https://openalex.org/W1643717297","https://openalex.org/W1875112053","https://openalex.org/W1880262756","https://openalex.org/W1922736325","https://openalex.org/W1998991750","https://openalex.org/W2003767009","https://openalex.org/W2017199625","https://openalex.org/W2062533676","https://openalex.org/W2092663520","https://openalex.org/W2093133114","https://openalex.org/W2097415784","https://openalex.org/W2102595307","https://openalex.org/W2120340025","https://openalex.org/W2123549998","https://openalex.org/W2124351162","https://openalex.org/W2125637308","https://openalex.org/W2132914434","https://openalex.org/W2147874349","https://openalex.org/W2158449358","https://openalex.org/W2161763921","https://openalex.org/W2164278908","https://openalex.org/W2296319761","https://openalex.org/W2324586202","https://openalex.org/W2395737356","https://openalex.org/W2406823926","https://openalex.org/W2408728757","https://openalex.org/W2553672624","https://openalex.org/W2595897327","https://openalex.org/W2610857016","https://openalex.org/W2795487731","https://openalex.org/W2888054844","https://openalex.org/W2913535645","https://openalex.org/W2919115771","https://openalex.org/W2922906440","https://openalex.org/W2941846728","https://openalex.org/W2950662148","https://openalex.org/W2962732903","https://openalex.org/W2962802176","https://openalex.org/W2963114672","https://openalex.org/W2963349819","https://openalex.org/W2963384510","https://openalex.org/W2963416107","https://openalex.org/W2964231051","https://openalex.org/W2964345095","https://openalex.org/W2980821238","https://openalex.org/W2999074226","https://openalex.org/W3015351294","https://openalex.org/W3100282875","https://openalex.org/W3101413764","https://openalex.org/W3103253084","https://openalex.org/W3104172768","https://openalex.org/W4231510805","https://openalex.org/W4238452917","https://openalex.org/W4247571494","https://openalex.org/W4249667877","https://openalex.org/W4250589301","https://openalex.org/W4302062322","https://openalex.org/W6635643970","https://openalex.org/W6639619044","https://openalex.org/W6640345655","https://openalex.org/W6678337573","https://openalex.org/W6681816618","https://openalex.org/W6712389801","https://openalex.org/W6729803099","https://openalex.org/W6754386280","https://openalex.org/W6758920291","https://openalex.org/W6762209676"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W803346624"],"abstract_inverted_index":{"The":[0],"data":[1,12,32,65,205,262],"generated":[2],"in":[3,41,98,105],"many":[4],"application":[5],"domains":[6],"can":[7,198],"be":[8,199,208,217],"modeled":[9],"as":[10,54,74,128,229],"big":[11,31,64],"over":[13,33,66],"networks,":[14],"i.e.,":[15],"massive":[16],"collections":[17],"of":[18,77,120,124,139,150,172,187,225],"high-dimensional":[19,71],"local":[20,43,72,99,114,152,234],"datasets":[21,44,73,100,153],"related":[22],"via":[23],"an":[24,137,165],"intrinsic":[25],"network":[26,47,103,141,173,181,214,227],"structure.":[27,48],"Machine":[28],"learning":[29,62,121,244],"for":[30,60,112,159,201,241],"networks":[34],"must":[35],"jointly":[36,93],"leverage":[37,94],"the":[38,42,70,75,95,118,122,140,151,160,169,180,184,188,226,253],"information":[39,96,185],"contained":[40,97],"and":[45,101,143,183],"their":[46,102,156],"We":[49,68,116,163,219,249],"propose":[50],"networked":[51,125],"exponential":[52,85,88,126,161,190],"families":[53,89,127],"a":[55,78,109,129,145,222,230],"novel":[56],"probabilistic":[57],"modeling":[58],"framework":[59],"machine":[61,243],"from":[63],"networks.":[67],"interpret":[69],"realizations":[76],"random":[79],"process":[80],"distributed":[81],"according":[82,154],"to":[83,92,107,155,207,212,216],"some":[84],"family.":[86,162],"Networked":[87],"allow":[90],"us":[91],"structure":[104,182],"order":[106],"learn":[108],"tailored":[110],"model":[111],"each":[113],"dataset.":[115],"formulate":[117],"task":[119],"parameters":[123,158],"convex":[130],"optimization":[131,134],"problem.":[132],"This":[133,175],"problem":[135],"is":[136,239,256],"instance":[138],"Lasso":[142,215,228],"enforces":[144],"data-driven":[146],"pooling":[147],"(or":[148],"clustering)":[149],"corresponding":[157],"derive":[164],"upper":[166,176],"bound":[167,177,197],"on":[168,179,246],"estimation":[170],"error":[171],"Lasso.":[174],"depends":[178],"geometry":[186],"node-wise":[189],"families.":[191],"These":[192],"insights":[193],"provided":[194],"by":[195],"this":[196],"used":[200],"determining":[202],"how":[203],"much":[204],"needs":[206],"collected":[209],"or":[210],"observed":[211],"ensure":[213],"accurate.":[218],"also":[220,257],"provide":[221],"scalable":[223],"implementation":[224],"message-passing":[231],"between":[232],"adjacent":[233],"datasets.":[235],"Such":[236],"message":[237],"passing":[238],"appealing":[240],"federated":[242],"relying":[245],"edge":[247],"computing.":[248],"finally":[250],"note":[251],"that":[252],"proposed":[254],"method":[255],"privacy-preserving":[258],"because":[259],"no":[260],"raw":[261],"but":[263],"only":[264],"parameter":[265],"(estimates)":[266],"are":[267],"shared":[268],"among":[269],"different":[270],"nodes.":[271]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
