{"id":"https://openalex.org/W4404433368","doi":"https://doi.org/10.1109/hipc62374.2024.00033","title":"Efficient Resource-Constrained Federated Learning Clustering with Local Data Compression on the Edge-to-Cloud Continuum","display_name":"Efficient Resource-Constrained Federated Learning Clustering with Local Data Compression on the Edge-to-Cloud Continuum","publication_year":2024,"publication_date":"2024-12-18","ids":{"openalex":"https://openalex.org/W4404433368","doi":"https://doi.org/10.1109/hipc62374.2024.00033"},"language":"en","primary_location":{"id":"doi:10.1109/hipc62374.2024.00033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hipc62374.2024.00033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 31st International Conference on High Performance Computing, Data, and Analytics (HiPC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04779813/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042565655","display_name":"C\u00e9dric Prigent","orcid":"https://orcid.org/0000-0002-1836-7965"},"institutions":[{"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/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"C\u00e9dric Prigent","raw_affiliation_strings":["University of Rennes,Inria, CNRS, IRISA,Rennes,France"],"affiliations":[{"raw_affiliation_string":"University of Rennes,Inria, CNRS, IRISA,Rennes,France","institution_ids":["https://openalex.org/I56067802","https://openalex.org/I2802519937","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033665666","display_name":"Melvin Chelli","orcid":"https://orcid.org/0000-0001-5260-9393"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Melvin Chelli","raw_affiliation_strings":["Deutsches Forschungszentrum f&#x00FC;r Kunstliche Intelligenz (DFKI), Saarland Informatics,Campus,Germany"],"affiliations":[{"raw_affiliation_string":"Deutsches Forschungszentrum f&#x00FC;r Kunstliche Intelligenz (DFKI), Saarland Informatics,Campus,Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086689035","display_name":"Alexandru Costan","orcid":"https://orcid.org/0000-0003-3111-6308"},"institutions":[{"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/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alexandru Costan","raw_affiliation_strings":["University of Rennes,Inria, CNRS, IRISA,Rennes,France"],"affiliations":[{"raw_affiliation_string":"University of Rennes,Inria, CNRS, IRISA,Rennes,France","institution_ids":["https://openalex.org/I56067802","https://openalex.org/I2802519937","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021207420","display_name":"Lo\u00efc Cudennec","orcid":"https://orcid.org/0000-0002-6476-4574"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lo\u00efc Cudennec","raw_affiliation_strings":["DGA Maitrise de l&#x0027;lnformation,Rennes,France"],"affiliations":[{"raw_affiliation_string":"DGA Maitrise de l&#x0027;lnformation,Rennes,France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057963772","display_name":"Ren\u00e9 Schubotz","orcid":"https://orcid.org/0000-0003-4336-9484"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ren\u00e9 Schubotz","raw_affiliation_strings":["Deutsches Forschungszentrum f&#x00FC;r Kunstliche Intelligenz (DFKI), Saarland Informatics,Campus,Germany"],"affiliations":[{"raw_affiliation_string":"Deutsches Forschungszentrum f&#x00FC;r Kunstliche Intelligenz (DFKI), Saarland Informatics,Campus,Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077818565","display_name":"Gabriel Antoniu","orcid":"https://orcid.org/0000-0001-6525-3736"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","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/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gabriel Antoniu","raw_affiliation_strings":["University of Rennes,Inria, CNRS, IRISA,Rennes,France"],"affiliations":[{"raw_affiliation_string":"University of Rennes,Inria, CNRS, IRISA,Rennes,France","institution_ids":["https://openalex.org/I56067802","https://openalex.org/I2802519937","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5042565655"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I2802519937","https://openalex.org/I56067802"],"apc_list":null,"apc_paid":null,"fwci":0.6706,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76357294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"255","last_page":"265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9975000023841858,"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":0.9975000023841858,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9833999872207642,"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":0.7668691873550415},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7607813477516174},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7213904857635498},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5580624341964722},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.465389609336853},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4334326684474945},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4182596802711487},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4120984971523285},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3711259365081787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2981572151184082},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11128559708595276},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05953606963157654}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7668691873550415},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7607813477516174},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7213904857635498},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5580624341964722},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.465389609336853},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4334326684474945},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4182596802711487},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4120984971523285},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3711259365081787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2981572151184082},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11128559708595276},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05953606963157654},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/hipc62374.2024.00033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hipc62374.2024.00033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 31st International Conference on High Performance Computing, Data, and Analytics (HiPC)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04779813v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04779813","pdf_url":"https://hal.science/hal-04779813/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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"HiPC 2024 - 31st IEEE International Conference on High Performance Computing, Data, and Analytics, Dec 2024, Bengaluru (Bangalore), India. pp.1-11, &#x27E8;10.1109/HiPC62374.2024.00033&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04779813v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04779813","pdf_url":"https://hal.science/hal-04779813/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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"HiPC 2024 - 31st IEEE International Conference on High Performance Computing, Data, and Analytics, Dec 2024, Bengaluru (Bangalore), India. pp.1-11, &#x27E8;10.1109/HiPC62374.2024.00033&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G6612625481","display_name":null,"funder_award_id":"France 2030","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G7758152977","display_name":null,"funder_award_id":"support","funder_id":"https://openalex.org/F4320322892","funder_display_name":"Centre National de la Recherche Scientifique"},{"id":"https://openalex.org/G8845844555","display_name":null,"funder_award_id":"ANR-23-PECL-0007","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G975799825","display_name":null,"funder_award_id":"France 2030 prog","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/F4320322892","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404433368.pdf"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W2042970394","https://openalex.org/W2071128523","https://openalex.org/W2085487226","https://openalex.org/W2098415863","https://openalex.org/W2112796928","https://openalex.org/W2763549966","https://openalex.org/W2765741717","https://openalex.org/W2963761396","https://openalex.org/W2972087877","https://openalex.org/W2993554215","https://openalex.org/W3011858437","https://openalex.org/W3017715461","https://openalex.org/W3045638580","https://openalex.org/W3080934299","https://openalex.org/W3091635927","https://openalex.org/W3104631511","https://openalex.org/W3133814152","https://openalex.org/W3191604281","https://openalex.org/W4200631596","https://openalex.org/W4319300101","https://openalex.org/W4323338449","https://openalex.org/W4385958045","https://openalex.org/W6683161245","https://openalex.org/W6728757088","https://openalex.org/W6756756286","https://openalex.org/W6770590064","https://openalex.org/W6774120287","https://openalex.org/W6774978782","https://openalex.org/W6780373310","https://openalex.org/W6791673544","https://openalex.org/W6810015302"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W2612632602","https://openalex.org/W2321805087"],"abstract_inverted_index":{"Federated":[0],"Learning":[1,30],"(FL)":[2],"has":[3],"been":[4],"proposed":[5],"as":[6],"a":[7,20,40,89,134],"privacy-preserving":[8],"approach":[9,121,150,166],"for":[10,24,68,83,92],"distributed":[11],"learning":[12],"over":[13],"decen-tralized":[14],"resources.":[15],"While":[16,208],"it":[17],"can":[18],"be":[19,36],"highly":[21],"efficient":[22],"tool":[23],"large-scale":[25],"collaborative":[26],"training":[27,61,169,181,194],"of":[28,148,210,220,230],"Machine":[29],"(ML)":[31],"models,":[32],"its":[33],"efficiency":[34,227],"may":[35],"strongly":[37],"impacted":[38],"by":[39,53,171],"high":[41],"variability":[42],"in":[43,203,216,228],"data":[44,58,103,129],"distributions":[45,59],"among":[46],"clients.":[47,117],"Clustered":[48],"FL":[49,94],"tackles":[50],"this":[51],"problem":[52],"grouping":[54],"clients":[55,144],"with":[56,137],"similar":[57,201],"and":[60,76,108,160,186],"personalized":[62,152],"models.":[63],"Despite":[64],"increasing":[65],"model":[66,163,168],"accuracy":[67,202],"federated":[69,116],"peers,":[70],"existing":[71],"clustering":[72],"approaches":[73],"overlook":[74],"system":[75,158],"infrastructure":[77],"constraints":[78],"leading":[79],"to":[80,100,114,151,173,184,197,199],"sustainability":[81],"problems":[82],"resource-constrained":[84,93],"devices.":[85],"This":[86],"paper":[87],"introduces":[88],"new":[90],"method":[91],"clustering.":[95],"We":[96],"leverage":[97],"pre-trained":[98],"autoencoders":[99],"compress":[101],"client":[102,125],"into":[104],"low":[105],"dimensional":[106],"space":[107],"build":[109],"lightweight":[110],"em-bedding":[111],"vectors":[112,127],"used":[113],"cluster":[115],"A":[118],"randomized":[119],"quantization":[120],"specifically":[122],"secures":[123],"the":[124,146,156,162,204,211,221],"embedding":[126],"against":[128],"reconstruction.":[130],"Extensive":[131],"experiments":[132],"using":[133],"multi-GPU":[135],"testbed":[136],"multiple":[138],"scenarios":[139],"introducing":[140],"concept":[141],"drift":[142],"between":[143],"demonstrate":[145],"generalitity":[147],"our":[149,165,223],"FL.":[153],"By":[154],"minimizing":[155],"overall":[157],"overhead":[159],"improving":[161],"convergence,":[164],"reduces":[167],"cost":[170],"up":[172],"l.44\u00d7":[174],"\u2212":[175,179,188,192],"4.32\u00d7":[176],"communication,":[177,190],"l.03\u00d7":[178],"2.40\u00d7":[180],"time":[182,195],"compared":[183,196],"IFCA":[185],"l.0\u00d7":[187],"8.60\u00d7":[189],"0.87\u00d7":[191,193],"LADD":[198],"achieve":[200],"different":[205],"evaluation":[206],"scenarios.":[207],"each":[209],"baselines":[212],"encounters":[213],"performance":[214],"degradation":[215],"at":[217],"least":[218],"one":[219],"scenarios,":[222],"strategy":[224],"demonstrates":[225],"top":[226],"all":[229],"them.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2025-10-10T00:00:00"}
