{"id":"https://openalex.org/W4362496516","doi":"https://doi.org/10.1109/kst57286.2023.10086811","title":"WAFL-GAN: Wireless Ad Hoc Federated Learning for Distributed Generative Adversarial Networks","display_name":"WAFL-GAN: Wireless Ad Hoc Federated Learning for Distributed Generative Adversarial Networks","publication_year":2023,"publication_date":"2023-02-21","ids":{"openalex":"https://openalex.org/W4362496516","doi":"https://doi.org/10.1109/kst57286.2023.10086811"},"language":"en","primary_location":{"id":"doi:10.1109/kst57286.2023.10086811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst57286.2023.10086811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-article"},"type":"article","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/A5042896106","display_name":"Eisuke Tomiyama","orcid":"https://orcid.org/0000-0002-0056-9446"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Eisuke Tomiyama","raw_affiliation_strings":["The University of Tokyo,Japan","The University of Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052106822","display_name":"Hiroshi Esaki","orcid":"https://orcid.org/0000-0001-5657-9216"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Esaki","raw_affiliation_strings":["The University of Tokyo,Japan","The University of Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045456657","display_name":"Hideya Ochiai","orcid":"https://orcid.org/0000-0002-4568-6726"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideya Ochiai","raw_affiliation_strings":["The University of Tokyo,Japan","The University of Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042896106"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":1.222,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82553537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"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":0.9994000196456909,"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":0.9994000196456909,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.980400025844574,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11448","display_name":"Face recognition and analysis","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7991479635238647},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.7522996664047241},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.7365138530731201},{"id":"https://openalex.org/keywords/wireless-ad-hoc-network","display_name":"Wireless ad hoc network","score":0.6224754452705383},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5825937986373901},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.48862725496292114},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.46827173233032227},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45719707012176514},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.44109198451042175},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4277106523513794},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4235679507255554},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4226163327693939},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3760235011577606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3452404737472534},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.31342387199401855},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15341198444366455},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1053609549999237},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08682271838188171},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08054113388061523}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7991479635238647},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.7522996664047241},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.7365138530731201},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.6224754452705383},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5825937986373901},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.48862725496292114},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.46827173233032227},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45719707012176514},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.44109198451042175},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4277106523513794},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4235679507255554},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4226163327693939},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3760235011577606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3452404737472534},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31342387199401855},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15341198444366455},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1053609549999237},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08682271838188171},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08054113388061523},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kst57286.2023.10086811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst57286.2023.10086811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5199999809265137,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1968560005","https://openalex.org/W2481857171","https://openalex.org/W2559655401","https://openalex.org/W2963819344","https://openalex.org/W2963873275","https://openalex.org/W2989596816","https://openalex.org/W3127520698","https://openalex.org/W3177624059","https://openalex.org/W4280520205","https://openalex.org/W4281551568","https://openalex.org/W4301206121","https://openalex.org/W6728757088","https://openalex.org/W6746090280","https://openalex.org/W6752600739","https://openalex.org/W6756840679","https://openalex.org/W6765779288","https://openalex.org/W6770054891","https://openalex.org/W6838803320"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W2950475743","https://openalex.org/W2886711096","https://openalex.org/W2750384547","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W4389249638","https://openalex.org/W2733410219","https://openalex.org/W2734358244","https://openalex.org/W4388700941"],"abstract_inverted_index":{"Diverse":[0],"images":[1],"are":[2],"needed":[3],"to":[4,40,105],"train":[5],"Generative":[6],"Adversarial":[7],"Network":[8],"(GAN)":[9],"with":[10,70,78,123],"diverse":[11],"image":[12],"output,":[13,115],"but":[14,28],"privacy":[15],"is":[16,36,64,75],"a":[17,37,50,108,113,121,124],"major":[18],"issue.":[19],"To":[20],"protect":[21],"privacy,":[22],"federated":[23,31,152],"learning":[24,62],"has":[25,82,120],"been":[26],"proposed,":[27],"in":[29,60],"conventional":[30,151],"learning,":[32],"the":[33,41,61,79,131,139],"parameter":[34],"server":[35],"third":[38,51],"party":[39],"client.":[42],"We":[43,127],"propose":[44],"WAFL-GAN,":[45],"which":[46,54],"does":[47],"not":[48],"require":[49],"party,":[52],"and":[53,66,84,93,111,135],"assumes":[55],"that":[56,138,149],"each":[57,71,89,118],"node":[58,74,119],"participating":[59],"process":[63],"mobile":[65],"can":[67,144],"communicate":[68],"wirelessly":[69],"other.":[72],"Each":[73],"trained":[76],"only":[77],"data":[80],"it":[81],"locally,":[83],"when":[85],"nodes":[86,104],"opportunistically":[87],"contact":[88],"other,":[90],"they":[91],"exchange":[92],"aggregate":[94],"model":[95,110],"parameters":[96],"without":[97],"exchanging":[98],"raw":[99],"data.":[100],"This":[101],"allows":[102],"all":[103],"eventually":[106],"have":[107],"general":[109,114],"produce":[112],"even":[116],"if":[117],"dataset":[122,134],"Non-IID":[125,132],"distribution.":[126],"evaluated":[128],"WAFL-GAN":[129,143],"on":[130],"MNIST":[133],"quantitatively":[136],"showed":[137],"output":[140],"diversity":[141],"of":[142,150],"be":[145],"as":[146,148],"high":[147],"learning.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
