{"id":"https://openalex.org/W4388115452","doi":"https://doi.org/10.23919/eusipco58844.2023.10290055","title":"Model-Free Decentralized Training for Deep Learning Based Resource Allocation in Communication Networks","display_name":"Model-Free Decentralized Training for Deep Learning Based Resource Allocation in Communication Networks","publication_year":2023,"publication_date":"2023-09-04","ids":{"openalex":"https://openalex.org/W4388115452","doi":"https://doi.org/10.23919/eusipco58844.2023.10290055"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco58844.2023.10290055","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/eusipco58844.2023.10290055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5015241580","display_name":"Pourya Behmandpoor","orcid":"https://orcid.org/0000-0003-4522-1280"},"institutions":[{"id":"https://openalex.org/I4210140143","display_name":"Dynamic Systems (United States)","ror":"https://ror.org/043vm9914","country_code":"US","type":"company","lineage":["https://openalex.org/I4210140143"]},{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE","US"],"is_corresponding":false,"raw_author_name":"Pourya Behmandpoor","raw_affiliation_strings":["KU Leuven,STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics,Department of Electrical Engineering (ESAT)","Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KU Leuven,STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics,Department of Electrical Engineering (ESAT)","institution_ids":["https://openalex.org/I4210140143"]},{"raw_affiliation_string":"Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven","institution_ids":["https://openalex.org/I4210140143","https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031380765","display_name":"Panagiotis Patrinos","orcid":"https://orcid.org/0000-0003-4824-7697"},"institutions":[{"id":"https://openalex.org/I4210140143","display_name":"Dynamic Systems (United States)","ror":"https://ror.org/043vm9914","country_code":"US","type":"company","lineage":["https://openalex.org/I4210140143"]},{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE","US"],"is_corresponding":false,"raw_author_name":"Panagiotis Patrinos","raw_affiliation_strings":["KU Leuven,STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics,Department of Electrical Engineering (ESAT)","Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KU Leuven,STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics,Department of Electrical Engineering (ESAT)","institution_ids":["https://openalex.org/I4210140143"]},{"raw_affiliation_string":"Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven","institution_ids":["https://openalex.org/I4210140143","https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051849103","display_name":"Marc Moonen","orcid":"https://orcid.org/0000-0003-4461-0073"},"institutions":[{"id":"https://openalex.org/I4210140143","display_name":"Dynamic Systems (United States)","ror":"https://ror.org/043vm9914","country_code":"US","type":"company","lineage":["https://openalex.org/I4210140143"]},{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE","US"],"is_corresponding":false,"raw_author_name":"Marc Moonen","raw_affiliation_strings":["KU Leuven,STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics,Department of Electrical Engineering (ESAT)","Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KU Leuven,STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics,Department of Electrical Engineering (ESAT)","institution_ids":["https://openalex.org/I4210140143"]},{"raw_affiliation_string":"Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven","institution_ids":["https://openalex.org/I4210140143","https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7256,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65526234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1494","last_page":"1498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.9991000294685364,"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/T13553","display_name":"Age of Information Optimization","score":0.9991000294685364,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9962999820709229,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9962000250816345,"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":0.810767412185669},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6693937182426453},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6357113122940063},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5185616612434387},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4841249883174896},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.48395732045173645},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4712771773338318},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3865734934806824}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.810767412185669},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6693937182426453},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6357113122940063},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5185616612434387},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4841249883174896},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.48395732045173645},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4712771773338318},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3865734934806824},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eusipco58844.2023.10290055","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/eusipco58844.2023.10290055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/729521","is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/handle/20.500.12942/729521","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"31st European Signal Processing Conference (EUSIPCO), Helsinki, Zweden, 4-8 September 2023","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2096264245","https://openalex.org/W2149479912","https://openalex.org/W2616867685","https://openalex.org/W2792284927","https://openalex.org/W2885828982","https://openalex.org/W2921224230","https://openalex.org/W2963000651","https://openalex.org/W2969195240","https://openalex.org/W2971598376","https://openalex.org/W2983476703","https://openalex.org/W2992716901","https://openalex.org/W3010687206","https://openalex.org/W3018063878","https://openalex.org/W3047072081","https://openalex.org/W3112324757","https://openalex.org/W3162620739","https://openalex.org/W3163127033","https://openalex.org/W4224917121","https://openalex.org/W4284879956","https://openalex.org/W4312634643","https://openalex.org/W4318619660","https://openalex.org/W4322716169","https://openalex.org/W4324116596","https://openalex.org/W6631190155","https://openalex.org/W6728757088","https://openalex.org/W6810484945"],"related_works":["https://openalex.org/W230091440","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W2389214306","https://openalex.org/W3216976533","https://openalex.org/W4235240664","https://openalex.org/W100620283","https://openalex.org/W2965083567"],"abstract_inverted_index":{"Decentralized":[0],"deep":[1],"learning":[2],"(DL)":[3],"based":[4,49],"resource":[5],"allocation":[6],"(RA)":[7],"in":[8,27,35,128,131],"communication":[9,15,94],"networks":[10],"guarantees":[11],"scalability":[12],"and":[13,122,151],"higher":[14],"bandwidth":[16],"efficiency":[17],"compared":[18,148],"to":[19,83,149],"centralized":[20,37,150],"RA.":[21],"Although":[22],"the":[23,30,65,78,80,108,114,124,136,140],"RA":[24],"is":[25,98],"decentralized":[26,45],"such":[28],"approaches,":[29],"policies":[31],"are":[32],"mostly":[33],"trained":[34],"a":[36,44,61,92,102,117,132,145],"manner.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42],"investigate":[43],"model-free":[46,133],"training":[47,97,153],"approach":[48,112],"on":[50],"zeroth-order":[51],"optimization":[52],"methods.":[53],"Each":[54],"user":[55],"trains":[56],"its":[57],"individual":[58],"policy-possibly":[59],"with":[60,88],"unique":[62],"structure-to":[63],"guarantee":[64],"maximum":[66],"global":[67],"utility,":[68],"e.g.,":[69],"sum":[70],"rate":[71],"(SR)":[72],"of":[73,105],"users.":[74,109],"More":[75],"importantly,":[76],"during":[77],"training,":[79],"users":[81],"need":[82,115],"share":[84],"only":[85],"scalar":[86],"quantities":[87],"their":[89],"neighbors,":[90],"avoiding":[91],"large":[93],"overhead.":[95],"The":[96,110],"also":[99],"robust":[100],"against":[101],"certain":[103],"level":[104],"asynchrony":[106],"between":[107],"proposed":[111],"relaxes":[113],"for":[116,126],"computationally":[118],"complex":[119],"central":[120],"server":[121],"offers":[123],"possibility":[125],"(re)training":[127],"dynamic":[129],"environments":[130],"manner":[134],"using":[135],"computational":[137],"power":[138],"at":[139],"edge.":[141],"Numerical":[142],"experiments":[143],"show":[144],"competitive":[146],"performance":[147],"federated":[152],"approaches.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
