{"id":"https://openalex.org/W4323240767","doi":"https://doi.org/10.5220/0011802600003393","title":"JoVe-FL: A Joint-Embedding Vertical Federated Learning Framework","display_name":"JoVe-FL: A Joint-Embedding Vertical Federated Learning Framework","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4323240767","doi":"https://doi.org/10.5220/0011802600003393"},"language":"en","primary_location":{"id":"doi:10.5220/0011802600003393","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5220/0011802600003393","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dx.doi.org/10.5220/0011802600003393","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056736149","display_name":"Maria Hartmann","orcid":"https://orcid.org/0000-0002-3567-7869"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":true,"raw_author_name":"Maria Hartmann","raw_affiliation_strings":["SnT, University of Luxembourg, Luxembourg, Esch-sur-Alzette, Luxembourg, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"SnT, University of Luxembourg, Luxembourg, Esch-sur-Alzette, Luxembourg, --- Select a Country ---","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107425879","display_name":"Gr\u00e9goire Danoy","orcid":null},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Gr\u00e9goire Danoy","raw_affiliation_strings":["FSTM/DCS, University of Luxembourg, Esch-sur-Alzette, Luxembourg, --- Select a Country ---","SnT, University of Luxembourg, Luxembourg, Esch-sur-Alzette, Luxembourg, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"FSTM/DCS, University of Luxembourg, Esch-sur-Alzette, Luxembourg, --- Select a Country ---","institution_ids":["https://openalex.org/I186903577"]},{"raw_affiliation_string":"SnT, University of Luxembourg, Luxembourg, Esch-sur-Alzette, Luxembourg, --- Select a Country ---","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062866950","display_name":"Mohammed Alswaitti","orcid":"https://orcid.org/0000-0003-0580-6954"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Mohammed Alswaitti","raw_affiliation_strings":["SnT, University of Luxembourg, Luxembourg, Esch-sur-Alzette, Luxembourg, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"SnT, University of Luxembourg, Luxembourg, Esch-sur-Alzette, Luxembourg, --- Select a Country ---","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058311932","display_name":"Pascal Bouvry","orcid":"https://orcid.org/0000-0001-9338-2834"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Pascal Bouvry","raw_affiliation_strings":["FSTM/DCS, University of Luxembourg, Esch-sur-Alzette, Luxembourg, --- Select a Country ---","SnT, University of Luxembourg, Luxembourg, Esch-sur-Alzette, Luxembourg, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"FSTM/DCS, University of Luxembourg, Esch-sur-Alzette, Luxembourg, --- Select a Country ---","institution_ids":["https://openalex.org/I186903577"]},{"raw_affiliation_string":"SnT, University of Luxembourg, Luxembourg, Esch-sur-Alzette, Luxembourg, --- Select a Country ---","institution_ids":["https://openalex.org/I186903577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056736149"],"corresponding_institution_ids":["https://openalex.org/I186903577"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01947601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"416","last_page":"426"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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":0.9783999919891357,"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/T10237","display_name":"Cryptography and Data Security","score":0.9588000178337097,"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/federated-learning","display_name":"Federated learning","score":0.823159396648407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7871670722961426},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7146486639976501},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7057284116744995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6289181113243103},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5799218416213989},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5080888271331787},{"id":"https://openalex.org/keywords/horizontal-and-vertical","display_name":"Horizontal and vertical","score":0.49127835035324097},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4715782701969147},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.46796613931655884},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.45263636112213135},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08296677470207214}],"concepts":[{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.823159396648407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7871670722961426},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7146486639976501},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7057284116744995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6289181113243103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5799218416213989},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5080888271331787},{"id":"https://openalex.org/C59218005","wikidata":"https://www.wikidata.org/wiki/Q17027571","display_name":"Horizontal and vertical","level":2,"score":0.49127835035324097},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4715782701969147},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.46796613931655884},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.45263636112213135},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08296677470207214},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0011802600003393","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5220/0011802600003393","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:orbilu.uni.lu:10993/55869","is_oa":true,"landing_page_url":"https://orbilu.uni.lu/handle/10993/55869","pdf_url":"https://orbilu.uni.lu/bitstream/10993/55869/1/ICAART23-CR.pdf","source":{"id":"https://openalex.org/S4306401815","display_name":"Open Repository and Bibliography (University of Luxembourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I186903577","host_organization_name":"University of Luxembourg","host_organization_lineage":["https://openalex.org/I186903577"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Agents and Artificial Intelligence, from 22-02-2023 to 24-02-2023","raw_type":"lecture"}],"best_oa_location":{"id":"doi:10.5220/0011802600003393","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5220/0011802600003393","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310700","display_name":"Universit\u00e9 du Luxembourg","ror":"https://ror.org/036x5ad56"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2093932908","https://openalex.org/W2283463896","https://openalex.org/W2949522309","https://openalex.org/W2963209930","https://openalex.org/W3004117333","https://openalex.org/W3011766871","https://openalex.org/W3017228762","https://openalex.org/W3035054364","https://openalex.org/W3041966875","https://openalex.org/W3048168663","https://openalex.org/W3118608800","https://openalex.org/W3175244802","https://openalex.org/W3192953632","https://openalex.org/W4206907230","https://openalex.org/W4287780658","https://openalex.org/W4289147263","https://openalex.org/W4294106961","https://openalex.org/W4361756938"],"related_works":["https://openalex.org/W4298221930","https://openalex.org/W2081900870","https://openalex.org/W2777914285","https://openalex.org/W3013363440","https://openalex.org/W4287823391","https://openalex.org/W4312762663","https://openalex.org/W1904584812","https://openalex.org/W3040253585","https://openalex.org/W2345479200","https://openalex.org/W2183306018"],"abstract_inverted_index":{"Federated":[0,64,76,161],"learning":[1,20,35,51,154,183,190],"is":[2,37,91,102,111,124,173],"a":[3,17,28,53,92,146,165,186,191],"particular":[4],"type":[5],"of":[6,16,33,40,43,49,55,99,122,130,178,207,213,216],"distributed":[7],"machine":[8,19,153],"learning,":[9],"designed":[10,169],"to":[11,46,67,74,82,114,144,185,197],"permit":[12],"the":[13,38,50,96,158,176,180,205,208,217],"joint":[14,192],"training":[15],"single":[18],"model":[21],"by":[22,127,189],"multiple":[23],"participants":[24,48],"that":[25,109],"each":[26],"possess":[27],"local":[29],"dataset.A":[30],"characteristic":[31],"feature":[32],"federated":[34,182],"strategies":[36],"avoidance":[39],"any":[41],"disclosure":[42],"client":[44,100],"data":[45,101,123],"other":[47],"scheme.While":[52],"wealth":[54],"well-performing":[56],"solutions":[57],"for":[58,62,170],"different":[59,214],"scenarios":[60,85],"exists":[61],"Horizontal":[63],"Learning":[65,77,162],"(HFL),":[66],"date":[68],"little":[69],"attention":[70],"has":[71],"been":[72],"devoted":[73],"Vertical":[75,160],"(VFL).Existing":[78],"approaches":[79],"are":[80],"limited":[81,126],"narrow":[83],"application":[84,118],"where":[86,120],"few":[87],"clients":[88],"participate,":[89],"privacy":[90,131],"main":[93],"concern":[94],"and":[95],"vertical":[97,181],"distribution":[98],"well-understood.In":[103],"this":[104],"article,":[105],"we":[106,202],"first":[107,166],"argue":[108],"VFL":[110,141,167],"naturally":[112],"applicable":[113],"another,":[115],"much":[116],"broader":[117],"context":[119],"sharing":[121],"mainly":[125],"technological":[128],"instead":[129],"constraints,":[132],"such":[133,145,171],"as":[134],"in":[135],"sensor":[136],"networks":[137],"or":[138],"satellite":[139],"swarms.A":[140],"scheme":[142],"applied":[143],"setting":[147],"could":[148],"unlock":[149],"previously":[150],"inaccessible":[151],"on-device":[152],"potential.We":[155],"then":[156],"propose":[157],"Joint-embedding":[159],"framework":[163,168],"(JoVe-FL),":[164],"settings.JoVe-FL":[172],"based":[174],"on":[175,210],"idea":[177],"transforming":[179],"problem":[184],"horizontal":[187],"one":[188],"embedding":[193],"space,":[194],"allowing":[195],"us":[196],"leverage":[198],"existing":[199],"HFL":[200],"solutions.Finally,":[201],"empirically":[203],"demonstrate":[204],"feasibility":[206],"approach":[209],"instances":[211],"consisting":[212],"partitionings":[215],"CIFAR10":[218],"dataset.":[219]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2023-03-06T00:00:00"}