{"id":"https://openalex.org/W4210790892","doi":"https://doi.org/10.1109/globecom46510.2021.9685786","title":"Entropy-Driven Stochastic Policy for Fast Federated Learning in Beyond 5G Edge-RAN","display_name":"Entropy-Driven Stochastic Policy for Fast Federated Learning in Beyond 5G Edge-RAN","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4210790892","doi":"https://doi.org/10.1109/globecom46510.2021.9685786"},"language":"en","primary_location":{"id":"doi:10.1109/globecom46510.2021.9685786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685786","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/7234250","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064390127","display_name":"Brahim Aamer","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153527","display_name":"Institut National des Postes et T\u00e9l\u00e9communications","ror":"https://ror.org/052bnvt46","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210153527","https://openalex.org/I4210167103"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Brahim Aamer","raw_affiliation_strings":["INPT,Rabat,Morocco","INPT, Rabat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INPT,Rabat,Morocco","institution_ids":["https://openalex.org/I4210153527"]},{"raw_affiliation_string":"INPT, Rabat, Morocco","institution_ids":["https://openalex.org/I4210153527"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037864108","display_name":"Hatim Chergui","orcid":"https://orcid.org/0000-0003-1061-7349"},"institutions":[{"id":"https://openalex.org/I4210087295","display_name":"Centre Tecnologic de Telecomunicacions de Catalunya","ror":"https://ror.org/001cwea56","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I4210087295","https://openalex.org/I4387153040"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Hatim Chergui","raw_affiliation_strings":["CTTC,Barcelona,Spain","CTTC, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CTTC,Barcelona,Spain","institution_ids":["https://openalex.org/I4210087295"]},{"raw_affiliation_string":"CTTC, Barcelona, Spain","institution_ids":["https://openalex.org/I4210087295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090034400","display_name":"Mustapha Benjillali","orcid":"https://orcid.org/0000-0002-2995-1067"},"institutions":[{"id":"https://openalex.org/I4210153527","display_name":"Institut National des Postes et T\u00e9l\u00e9communications","ror":"https://ror.org/052bnvt46","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210153527","https://openalex.org/I4210167103"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mustapha Benjillali","raw_affiliation_strings":["INPT,Rabat,Morocco","INPT, Rabat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INPT,Rabat,Morocco","institution_ids":["https://openalex.org/I4210153527"]},{"raw_affiliation_string":"INPT, Rabat, Morocco","institution_ids":["https://openalex.org/I4210153527"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016866376","display_name":"Christos Verikoukis","orcid":"https://orcid.org/0000-0001-8774-1052"},"institutions":[{"id":"https://openalex.org/I4210087295","display_name":"Centre Tecnologic de Telecomunicacions de Catalunya","ror":"https://ror.org/001cwea56","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I4210087295","https://openalex.org/I4387153040"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Christos Verikoukis","raw_affiliation_strings":["CTTC,Barcelona,Spain","CTTC, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CTTC,Barcelona,Spain","institution_ids":["https://openalex.org/I4210087295"]},{"raw_affiliation_string":"CTTC, Barcelona, Spain","institution_ids":["https://openalex.org/I4210087295"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2937,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57145132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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/T13553","display_name":"Age of Information Optimization","score":0.9962999820709229,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.777711808681488},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5979811549186707},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.565698504447937},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5451608300209045},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5064822435379028},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4757634997367859},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34571874141693115},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.2719828486442566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13055860996246338}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.777711808681488},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5979811549186707},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.565698504447937},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5451608300209045},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5064822435379028},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4757634997367859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34571874141693115},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.2719828486442566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13055860996246338},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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":2,"locations":[{"id":"doi:10.1109/globecom46510.2021.9685786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685786","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:7234250","is_oa":true,"landing_page_url":"https://zenodo.org/record/7234250","pdf_url":"https://zenodo.org/record/7234250","source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Glob. Commun. Conf., GLOBECOM - Proc.","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:7234250","is_oa":true,"landing_page_url":"https://zenodo.org/record/7234250","pdf_url":"https://zenodo.org/record/7234250","source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Glob. Commun. Conf., GLOBECOM - Proc.","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.4399999976158142,"display_name":"Responsible consumption and production"}],"awards":[{"id":"https://openalex.org/G7328380594","display_name":null,"funder_award_id":"2017 SGR 1195","funder_id":"https://openalex.org/F4320307718","funder_display_name":"Society of Gastrointestinal Radiologists"}],"funders":[{"id":"https://openalex.org/F4320307718","display_name":"Society of Gastrointestinal Radiologists","ror":"https://ror.org/05n4wp011"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4210790892.pdf","grobid_xml":"https://content.openalex.org/works/W4210790892.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W2101234009","https://openalex.org/W2115499157","https://openalex.org/W2152322845","https://openalex.org/W2482837509","https://openalex.org/W2807006176","https://openalex.org/W2921434559","https://openalex.org/W2921560693","https://openalex.org/W2944903634","https://openalex.org/W2946193510","https://openalex.org/W2999593354","https://openalex.org/W3038028469","https://openalex.org/W3090615085","https://openalex.org/W3127133996","https://openalex.org/W4287332481","https://openalex.org/W4318619660","https://openalex.org/W6675354045","https://openalex.org/W6722236705","https://openalex.org/W6728757088","https://openalex.org/W6760252619","https://openalex.org/W6762879059"],"related_works":["https://openalex.org/W3004218185","https://openalex.org/W4390241083","https://openalex.org/W4245457074","https://openalex.org/W2347733609","https://openalex.org/W184958470","https://openalex.org/W2389214306","https://openalex.org/W2912990606","https://openalex.org/W1717256175","https://openalex.org/W2965083567","https://openalex.org/W4235240664"],"abstract_inverted_index":{"Scalability":[0],"and":[1,23,43,77,83,96,138,166,171,198,214],"sustainability":[2],"are":[3,18,72,222],"the":[4,9,29,32,41,47,52,88,129,131,135,139,146,164,167,186,208,211,216],"corner":[5],"stones":[6],"to":[7,20,45,51,64,127,190,205,224],"unleash":[8],"potential":[10],"of":[11,31,133,141,145],"beyond":[12],"fifth-generation":[13],"(B5G)":[14],"ultra-dense":[15],"networks":[16,71],"that":[17,28,119],"expected":[19],"handle":[21],"massive":[22],"heterogeneous":[24],"services.":[25],"This":[26,86,148],"implies":[27],"transport":[30],"underlying":[33],"raw":[34],"monitoring":[35],"data":[36,53,89],"should":[37],"be":[38],"minimized":[39],"across":[40,91],"network,":[42],"urges":[44],"bring":[46],"analysis":[48],"functions":[49],"closer":[50],"collection":[54],"points.":[55],"While":[56],"federated":[57,195],"learning":[58],"(FL)":[59],"is":[60,101,126,150,172],"an":[61,193],"efficient":[62],"tool":[63],"implement":[65],"such":[66],"a":[67,114,116,142,153,158,200],"decentralized":[68],"strategy,":[69],"real":[70],"generally":[73],"characterized":[74],"by":[75],"time-":[76],"space-varying":[78],"users":[79],"distributions,":[80],"traffic":[81],"profiles,":[82],"channel":[84],"conditions.":[85],"makes":[87],"collected":[90],"different":[92],"points":[93],"non":[94],"independent":[95],"identically":[97],"distributed":[98],"(non-IID),":[99],"which":[100],"challenging":[102],"for":[103],"FL":[104,181],"tasks.":[105,179],"To":[106],"cope":[107],"with":[108],"this":[109],"issue,":[110],"we":[111,120],"first":[112],"introduce":[113],"new":[115],"priori":[117],"metric":[118],"call":[121],"dataset":[122,143,188],"entropy,":[123],"whose":[124],"role":[125],"capture":[128],"distribution,":[130],"quantity":[132],"information,":[134],"unbalanced":[136],"structure":[137],"\u201cnon-IIDness\u201d":[140],"independently":[144],"models.":[147],"entropy":[149],"calculated":[151],"using":[152],"clustering":[154],"scheme":[155],"based":[156],"on":[157],"similarity":[159],"matrix":[160],"defined":[161],"over":[162],"both":[163],"features":[165],"supervised":[168],"output":[169],"spaces,":[170],"targeting":[173],"classification":[174],"as":[175,177],"well":[176],"regression":[178],"The":[180],"aggregation":[182],"server":[183],"then":[184],"uses":[185],"reported":[187],"entropies":[189],"devise":[191],"i)":[192],"entropy-based":[194],"averaging":[196],"scheme,":[197],"ii)":[199],"stochastic":[201],"participant":[202],"selection":[203],"policy":[204],"significantly":[206],"stabilize":[207],"training,":[209],"minimize":[210],"convergence":[212],"time,":[213],"reduce":[215],"corresponding":[217],"computation":[218],"cost.":[219],"Numerical":[220],"results":[221],"provided":[223],"illustrate":[225],"all":[226],"these":[227],"advantages.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}