{"id":"https://openalex.org/W3089866310","doi":"https://doi.org/10.1145/3423211.3425688","title":"FeGAN","display_name":"FeGAN","publication_year":2020,"publication_date":"2020-12-07","ids":{"openalex":"https://openalex.org/W3089866310","doi":"https://doi.org/10.1145/3423211.3425688","mag":"3089866310"},"language":"en","primary_location":{"id":"doi:10.1145/3423211.3425688","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3423211.3425688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Middleware Conference","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://infoscience.epfl.ch/record/282767/files/FeGAN.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049321288","display_name":"Rachid Guerraoui","orcid":"https://orcid.org/0000-0002-4794-8902"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Rachid Guerraoui","raw_affiliation_strings":["EPFL","Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne"],"affiliations":[{"raw_affiliation_string":"EPFL","institution_ids":[]},{"raw_affiliation_string":"Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018333744","display_name":"Arsany Guirguis","orcid":"https://orcid.org/0000-0002-0898-0387"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Arsany Guirguis","raw_affiliation_strings":["EPFL","Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne"],"affiliations":[{"raw_affiliation_string":"EPFL","institution_ids":[]},{"raw_affiliation_string":"Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031849486","display_name":"Anne-Marie Kermarrec","orcid":"https://orcid.org/0000-0001-8187-724X"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Anne-Marie Kermarrec","raw_affiliation_strings":["EPFL","Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne"],"affiliations":[{"raw_affiliation_string":"EPFL","institution_ids":[]},{"raw_affiliation_string":"Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071551052","display_name":"Erwan Le Merrer","orcid":"https://orcid.org/0000-0001-8344-2135"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Erwan Le Merrer","raw_affiliation_strings":["Univ Rennes, Inria, CNRS, Irisa","the World Is Distributed Exploring the tension between scale and coordination"],"affiliations":[{"raw_affiliation_string":"Univ Rennes, Inria, CNRS, Irisa","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I56067802","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"the World Is Distributed Exploring the tension between scale and coordination","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049321288"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":1.76231458,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.86999275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"193","last_page":"206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998000264167786,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998000264167786,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9993000030517578,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9988999962806702,"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/discriminator","display_name":"Discriminator","score":0.8468953371047974},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7691045999526978},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6458527445793152},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6270314455032349},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5949769616127014},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5471063256263733},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5453474521636963},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4736265540122986},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4235711991786957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39977777004241943},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3315960168838501},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21868109703063965},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0887179970741272},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08464965224266052}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8468953371047974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7691045999526978},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6458527445793152},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6270314455032349},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5949769616127014},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5471063256263733},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5453474521636963},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4736265540122986},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4235711991786957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39977777004241943},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3315960168838501},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21868109703063965},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0887179970741272},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08464965224266052},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3423211.3425688","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3423211.3425688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Middleware Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.epfl.ch:282767","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/282767","pdf_url":"https://infoscience.epfl.ch/record/282767/files/FeGAN.pdf","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"},{"id":"pmh:oai:HAL:hal-03118260v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03118260","pdf_url":null,"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":"ACM/IFIP Middleware 2020 - Annual ACM/IFIP Middleware conference, Dec 2020, Delft / Virtual, Netherlands. &#x27E8;10.1145/3423211.3425688&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:282767","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/282767","pdf_url":"https://infoscience.epfl.ch/record/282767/files/FeGAN.pdf","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"},"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3089866310.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W1981276685","https://openalex.org/W2038885294","https://openalex.org/W2060393849","https://openalex.org/W2099471712","https://openalex.org/W2108598243","https://openalex.org/W2117539524","https://openalex.org/W2123838014","https://openalex.org/W2161767008","https://openalex.org/W2173213060","https://openalex.org/W2173520492","https://openalex.org/W2183341477","https://openalex.org/W2541884796","https://openalex.org/W2559655401","https://openalex.org/W2581485081","https://openalex.org/W2585630030","https://openalex.org/W2593414223","https://openalex.org/W2604783387","https://openalex.org/W2778716599","https://openalex.org/W2798720628","https://openalex.org/W2807006176","https://openalex.org/W2891714643","https://openalex.org/W2893749619","https://openalex.org/W2899730059","https://openalex.org/W2900590788","https://openalex.org/W2909776080","https://openalex.org/W2912213068","https://openalex.org/W2945142306","https://openalex.org/W2963185411","https://openalex.org/W2963470893","https://openalex.org/W2963873275","https://openalex.org/W2964201867","https://openalex.org/W2970971581","https://openalex.org/W2979980060","https://openalex.org/W2989289980","https://openalex.org/W2999905431","https://openalex.org/W3015598833","https://openalex.org/W3015636663","https://openalex.org/W3030565336","https://openalex.org/W3105122387","https://openalex.org/W4238416801","https://openalex.org/W4289754090","https://openalex.org/W6600036705","https://openalex.org/W6605363982","https://openalex.org/W6713645886","https://openalex.org/W6726983635","https://openalex.org/W6776882235"],"related_works":["https://openalex.org/W2995777218","https://openalex.org/W2953246223","https://openalex.org/W4293320219","https://openalex.org/W3110074278","https://openalex.org/W4283584549","https://openalex.org/W2618858825","https://openalex.org/W2554314924","https://openalex.org/W2998859928","https://openalex.org/W3156863413","https://openalex.org/W4381885966"],"abstract_inverted_index":{"Existing":[0],"approaches":[1],"to":[2,11,134,143,153,177],"distribute":[3],"Generative":[4],"Adversarial":[5],"Networks":[6],"(GANs)":[7],"either":[8],"(i)":[9],"fail":[10],"scale":[12],"for":[13,52],"they":[14,37],"typically":[15],"put":[16],"the":[17,26,49,60,71,86,94,144],"two":[18],"components":[19],"of":[20,57,62,73,158,174],"a":[21,77,80,91,122,171],"GAN":[22,39,146],"(the":[23],"generator":[24,78],"and":[25,65,89,100,107,124],"discriminator)":[27],"on":[28,82],"different":[29],"machines,":[30],"inducing":[31],"significant":[32],"communication":[33],"overhead,":[34],"or":[35],"(ii)":[36],"face":[38],"training":[40,105,167,181],"specific":[41],"issues,":[42],"exacerbated":[43],"by":[44,168],"distribution.":[45],"We":[46,162],"propose":[47],"FeGAN,":[48],"first":[50],"middleware":[51],"distributing":[53],"GANs":[54,178],"over":[55],"hundreds":[56],"devices":[58],"addressing":[59],"issues":[61,106],"mode":[63],"collapse":[64],"vanishing":[66],"gradients.":[67],"Essentially,":[68],"we":[69,113],"revisit":[70],"idea":[72],"Federated":[74,175],"Learning,":[75],"co-locating":[76],"with":[79,138],"discriminator":[81],"each":[83],"device":[84],"(addressing":[85],"scaling":[87,152],"problem)":[88],"having":[90],"server":[92],"aggregate":[93],"devices'":[95,125],"models":[96],"using":[97],"balanced":[98],"sampling":[99],"Kullback-Leibler":[101],"(KL)":[102],"weighting,":[103],"mitigating":[104],"boosting":[108],"convergence.":[109],"Through":[110],"extensive":[111],"experiments,":[112],"show":[114],"that":[115,164],"FeGAN":[116,131,165],"generates":[117],"high-quality":[118],"dataset":[119],"samples":[120],"in":[121],"scalable":[123],"heterogeneity":[126],"tolerant":[127],"manner.":[128],"In":[129],"particular,":[130],"achieves":[132],"up":[133],"5\u00d7":[135],"throughput":[136],"gain":[137],"1.5\u00d7":[139],"less":[140],"bandwidth":[141],"compared":[142],"state-of-the-art":[145],"distributed":[147],"approach":[148],"(named":[149],"MD-GAN),":[150],"while":[151,179],"at":[154],"least":[155],"one":[156],"order":[157],"magnitude":[159],"more":[160],"devices.":[161],"demonstrate":[163],"boosts":[166],"2.6\u00d7":[169],"w.r.t.":[170],"baseline":[172],"application":[173],"Learning":[176],"preventing":[180],"issues.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2020-10-08T00:00:00"}
