{"id":"https://openalex.org/W3200332461","doi":"https://doi.org/10.1109/twc.2021.3109377","title":"Statistical Federated Learning for Beyond 5G SLA-Constrained RAN Slicing","display_name":"Statistical Federated Learning for Beyond 5G SLA-Constrained RAN Slicing","publication_year":2021,"publication_date":"2021-09-09","ids":{"openalex":"https://openalex.org/W3200332461","doi":"https://doi.org/10.1109/twc.2021.3109377","mag":"3200332461"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2021.3109377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2021.3109377","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/TWC.2021.3109377","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","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":true,"raw_author_name":"Hatim Chergui","raw_affiliation_strings":["Catalan Telecommunications Technology Center (CTTC), Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Catalan Telecommunications Technology Center (CTTC), Barcelona, Spain","institution_ids":["https://openalex.org/I4210087295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034210599","display_name":"Luis Blanco","orcid":"https://orcid.org/0000-0002-2300-8385"},"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":"Luis Blanco","raw_affiliation_strings":["Catalan Telecommunications Technology Center (CTTC), Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Catalan Telecommunications Technology Center (CTTC), Barcelona, Spain","institution_ids":["https://openalex.org/I4210087295"]}]},{"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":["Catalan Telecommunications Technology Center (CTTC), Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Catalan Telecommunications Technology Center (CTTC), Barcelona, Spain","institution_ids":["https://openalex.org/I4210087295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037864108"],"corresponding_institution_ids":["https://openalex.org/I4210087295"],"apc_list":null,"apc_paid":null,"fwci":3.9196,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.94588182,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"21","issue":"3","first_page":"2066","last_page":"2076"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9911999702453613,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.6041761040687561},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4491182267665863},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3923954963684082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3905121684074402},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.327800452709198},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15250825881958008}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6041761040687561},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4491182267665863},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3923954963684082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3905121684074402},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.327800452709198},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15250825881958008}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/twc.2021.3109377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2021.3109377","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:7333878","is_oa":true,"landing_page_url":"https://doi.org/10.1109/TWC.2021.3109377","pdf_url":null,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans. Wireless Commun., 21(3), 2066 - 2076, (2022-03-01)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:7333878","is_oa":true,"landing_page_url":"https://doi.org/10.1109/TWC.2021.3109377","pdf_url":null,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans. Wireless Commun., 21(3), 2066 - 2076, (2022-03-01)","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2141744833","https://openalex.org/W2221524898","https://openalex.org/W2472357683","https://openalex.org/W2605467427","https://openalex.org/W2612074600","https://openalex.org/W2810394673","https://openalex.org/W2884285953","https://openalex.org/W2896336465","https://openalex.org/W2910790589","https://openalex.org/W2962718185","https://openalex.org/W2963223295","https://openalex.org/W2963318081","https://openalex.org/W2995022099","https://openalex.org/W3005134765","https://openalex.org/W3008502609","https://openalex.org/W3010627192","https://openalex.org/W3043758338","https://openalex.org/W3049670232","https://openalex.org/W3109847748","https://openalex.org/W4233413206","https://openalex.org/W4236965869","https://openalex.org/W6728757088","https://openalex.org/W6750028572","https://openalex.org/W6752905294","https://openalex.org/W6753093262","https://openalex.org/W6773046098","https://openalex.org/W6947727497"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2389214306","https://openalex.org/W2382290278","https://openalex.org/W2478288626"],"abstract_inverted_index":{"A":[0],"key":[1],"enabler":[2],"for":[3,129,199],"both":[4,185],"scalability":[5],"and":[6,108,118,142,188],"sustainability":[7],"in":[8,45,69,211],"beyond":[9],"5G":[10],"(B5G)":[11],"network":[12,62],"slicing":[13],"consists":[14],"on":[15,168],"minimizing":[16],"the":[17,31,36,124,139,151,181,200,204,212],"exchange":[18],"of":[19,126,203],"raw":[20],"monitoring":[21],"data":[22,37],"across":[23],"different":[24],"domains.":[25],"This":[26],"is":[27],"achieved":[28],"by":[29],"bringing":[30],"analysis":[32,198],"functions":[33],"closer":[34],"to":[35,122,184],"collection":[38],"points.":[39],"To":[40],"this":[41,46],"end,":[42],"we":[43,84,131,157,195],"introduce":[44],"paper":[47],"<italic":[48,91,104,109,152,206],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[49,92,98,105,110,153,207],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">statistical":[50],"federated":[51],"learning</i>":[52],"(SFL)":[53],"provisioning":[54],"models":[55],"that":[56,136,173],"can":[57],"learn":[58],"over":[59],"a":[60,133,160],"live":[61],"non":[63],"independent":[64],"identically":[65],"distributed":[66],"(non-IID)":[67],"datasets":[68],"an":[70,197],"offline":[71],"fashion":[72],"while":[73,178],"respecting":[74],"slice-level":[75,170],"service":[76],"level":[77],"agreement":[78],"(SLA)":[79],"long-term":[80],"statistical":[81,140],"constraints.":[82],"Specifically,":[83],"consider":[85],"three":[86],"resource":[87],"SLA":[88,176],"metrics,":[89],"namely,":[90],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">cumulative":[93],"distribution":[94],"function</i>":[95],"(CDF),":[96],"<inline-formula":[97],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[99],"<tex-math":[100],"notation=\"LaTeX\">$Q$":[101],"</tex-math></inline-formula>":[102],"-":[103],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">th":[106],"percentile</i>":[107],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">maximum/minimum":[111],"bounds</i>":[112],".":[113],"These":[114],"metrics":[115],"are":[116],"dataset-dependent":[117],"non-convex":[119],"non-differentiable":[120],"and,":[121],"sidestep":[123],"inaccuracy":[125],"settling":[127],"only":[128],"surrogates,":[130],"propose":[132],"novel":[134],"formulation":[135],"jointly":[137],"considers":[138],"objective":[141],"constraints":[143],"as":[144,146],"well":[145],"their":[147],"smooth":[148],"approximation":[149],"using":[150],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">proxy-Lagrangian</i>":[154],"framework,":[155],"which":[156],"solve":[158],"via":[159],"non-zero":[161],"sum":[162],"two-player":[163],"game":[164],"strategy.":[165],"Numerical":[166],"results":[167],"various":[169],"resources":[171],"show":[172],"SFL":[174,213],"enables":[175],"enforcement":[177],"significantly":[179],"reducing":[180],"overhead":[182],"compared":[183],"state-of-the-art":[186],"FedAvg":[187],"centralized":[189],"constrained":[190],"deep":[191],"learning":[192],"schemes.":[193],"Finally,":[194],"provide":[196],"lower":[201],"bound":[202],"so-called":[205],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">reliable":[208],"convergence":[209],"probability</i>":[210],"setup.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
