{"id":"https://openalex.org/W4402148189","doi":"https://doi.org/10.23919/cnsm62983.2024.10814613","title":"Data Pipeline System Designs for In-network Learning","display_name":"Data Pipeline System Designs for In-network Learning","publication_year":2024,"publication_date":"2024-10-28","ids":{"openalex":"https://openalex.org/W4402148189","doi":"https://doi.org/10.23919/cnsm62983.2024.10814613"},"language":"en","primary_location":{"id":"doi:10.23919/cnsm62983.2024.10814613","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm62983.2024.10814613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 20th International Conference on Network and Service Management (CNSM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04681121/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106949640","display_name":"Patient Ntumba","orcid":null},"institutions":[{"id":"https://openalex.org/I124158823","display_name":"Conservatoire National des Arts et M\u00e9tiers","ror":"https://ror.org/0175hh227","country_code":"FR","type":"education","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Patient Ntumba","raw_affiliation_strings":["Cnam,Paris,France"],"affiliations":[{"raw_affiliation_string":"Cnam,Paris,France","institution_ids":["https://openalex.org/I124158823"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057898023","display_name":"Nour-El-Houda Yellas","orcid":"https://orcid.org/0000-0001-7769-6243"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nour-El-Houda Yellas","raw_affiliation_strings":["Orange Innovation,France"],"affiliations":[{"raw_affiliation_string":"Orange Innovation,France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082326022","display_name":"Salah Bin Ruba","orcid":null},"institutions":[{"id":"https://openalex.org/I124158823","display_name":"Conservatoire National des Arts et M\u00e9tiers","ror":"https://ror.org/0175hh227","country_code":"FR","type":"education","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Salah Bin-Ruba","raw_affiliation_strings":["Cnam,Paris,France"],"affiliations":[{"raw_affiliation_string":"Cnam,Paris,France","institution_ids":["https://openalex.org/I124158823"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017291944","display_name":"Fehmi Ben Abdesslem","orcid":"https://orcid.org/0000-0001-7866-143X"},"institutions":[{"id":"https://openalex.org/I2800664555","display_name":"RISE Research Institutes of Sweden","ror":"https://ror.org/03nnxqz81","country_code":"SE","type":"other","lineage":["https://openalex.org/I2800664555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Fehmi Ben Abdesslem","raw_affiliation_strings":["RISE,Stockholm,Sweden"],"affiliations":[{"raw_affiliation_string":"RISE,Stockholm,Sweden","institution_ids":["https://openalex.org/I2800664555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036423664","display_name":"Secci Stefano","orcid":null},"institutions":[{"id":"https://openalex.org/I124158823","display_name":"Conservatoire National des Arts et M\u00e9tiers","ror":"https://ror.org/0175hh227","country_code":"FR","type":"education","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Stefano Secci","raw_affiliation_strings":["Cnam,Paris,France"],"affiliations":[{"raw_affiliation_string":"Cnam,Paris,France","institution_ids":["https://openalex.org/I124158823"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5106949640"],"corresponding_institution_ids":["https://openalex.org/I124158823"],"apc_list":null,"apc_paid":null,"fwci":0.398,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72036621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.84170001745224,"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"}},"topics":[{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.84170001745224,"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"}},{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.7900999784469604,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.6980000138282776,"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":0.7358871102333069},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7182519435882568},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.201475590467453}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7358871102333069},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7182519435882568},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.201475590467453}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/cnsm62983.2024.10814613","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm62983.2024.10814613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 20th International Conference on Network and Service Management (CNSM)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04681121v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04681121","pdf_url":"https://hal.science/hal-04681121/document","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"20th International Conference on Network and Service ManagemenT, Oct 2024, Prague, Czech Republic. ⟨10.23919/CNSM62983.2024.10814613⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04681121v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04681121","pdf_url":"https://hal.science/hal-04681121/document","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"20th International Conference on Network and Service ManagemenT, Oct 2024, Prague, Czech Republic. ⟨10.23919/CNSM62983.2024.10814613⟩","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2555542211","display_name":null,"funder_award_id":"101015922","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G3434685932","display_name":null,"funder_award_id":"ANR-22-CE25-0016","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4402148189.pdf"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W2000876233","https://openalex.org/W2098931293","https://openalex.org/W2247317079","https://openalex.org/W2474241701","https://openalex.org/W2621452375","https://openalex.org/W2752549871","https://openalex.org/W2765825244","https://openalex.org/W3025860658","https://openalex.org/W3029425001","https://openalex.org/W3094449227","https://openalex.org/W3105031020","https://openalex.org/W3175768200","https://openalex.org/W3187145766","https://openalex.org/W4200078903","https://openalex.org/W4225273981","https://openalex.org/W4286507519","https://openalex.org/W4310720501","https://openalex.org/W4386243235","https://openalex.org/W4399988462","https://openalex.org/W6712677956"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"the":[3,32,65,69,79,92,112,125,129,146,164,174],"design":[4,31],"of":[5,37,68,72,131,173],"a":[6,35,86,98,102,106,116],"data":[7,141],"pipeline":[8],"system":[9],"(DPS)":[10],"integrated":[11,83,123],"with":[12,85,124,156,181],"artificial":[13],"intelligence":[14],"(AIF)":[15],"functions":[16],"to":[17,56,81,110,127,145,154,171,179],"support":[18,57],"continuous":[19],"AI":[20],"learning":[21,59,88,94,152,176],"and":[22,41,48,50,75,143],"operations":[23],"for":[24,119],"network":[25,70,113],"automation":[26],"in":[27,139],"5G/6G":[28],"systems.":[29],"We":[30,96],"DPS":[33,80,126,165],"as":[34,91],"chain":[36],"functions,":[38],"namely":[39],"ingress":[40],"egress":[42],"Network":[43,51],"Data":[44,52],"Broker":[45],"Function":[46,54],"(iNDBF":[47],"eNDBF)":[49],"Preprocessing":[53],"(NDPPF),":[55],"in-network":[58],"operations.":[60],"To":[61],"take":[62],"into":[63],"account":[64],"distributed":[66,87,151,175],"nature":[67],"architecture":[71],"5G":[73],"systems":[74],"beyond,":[76],"we":[77],"conceive":[78],"be":[82],"seamlessly":[84],"frameworks":[89],"such":[90],"federated":[93],"(FL).":[95],"performed":[97],"realistic":[99],"evaluation,":[100],"employing":[101],"real":[103],"dataset":[104],"from":[105],"national":[107],"mobile":[108],"operator":[109],"simulate":[111],"architecture.":[114],"Additionally,":[115],"FL":[117],"framework":[118],"anomaly":[120],"detection":[121],"is":[122],"assess":[128],"effectiveness":[130],"our":[132],"proposal.":[133],"Evaluation":[134],"results":[135,160],"show":[136],"that":[137],"delays":[138,169],"end-to-end":[140],"transmission":[142],"preprocessing":[144],"AIF":[147],"locations":[148],"can":[149,166],"cause":[150],"AIFs":[153,180],"work":[155],"stale":[157],"data.":[158],"The":[159],"also":[161],"highlight":[162],"how":[163],"counterbalance":[167],"these":[168],"leading":[170],"desynchronisation":[172],"process,":[177],"bringing":[178],"higher":[182],"accuracy.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}