{"id":"https://openalex.org/W4403937697","doi":"https://doi.org/10.1109/iscc61673.2024.10733694","title":"Combining Client Selection Strategy with Knowledge Distillation for Federated Learning in non-IID Data","display_name":"Combining Client Selection Strategy with Knowledge Distillation for Federated Learning in non-IID Data","publication_year":2024,"publication_date":"2024-06-26","ids":{"openalex":"https://openalex.org/W4403937697","doi":"https://doi.org/10.1109/iscc61673.2024.10733694"},"language":"en","primary_location":{"id":"doi:10.1109/iscc61673.2024.10733694","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscc61673.2024.10733694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Symposium on Computers and Communications (ISCC)","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/A5076173074","display_name":"Aissa Hadj Mohamed","orcid":"https://orcid.org/0000-0001-7354-7240"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Aissa H. Mohamed","raw_affiliation_strings":["Universidade Estadual de Campinas (UNICAMP), Institute of Computing (IC),Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Estadual de Campinas (UNICAMP), Institute of Computing (IC),Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018593807","display_name":"Joahannes B. D. da Costa","orcid":"https://orcid.org/0000-0001-9973-2479"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Joahannes B. D. Da Costa","raw_affiliation_strings":["Universidade Estadual de Campinas (UNICAMP), Institute of Computing (IC),Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Estadual de Campinas (UNICAMP), Institute of Computing (IC),Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025642074","display_name":"Leandro A. Villas","orcid":"https://orcid.org/0000-0002-3372-3366"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Leandro A. Villas","raw_affiliation_strings":["Universidade Estadual de Campinas (UNICAMP), Institute of Computing (IC),Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Estadual de Campinas (UNICAMP), Institute of Computing (IC),Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081590498","display_name":"J\u00falio Cesar dos Reis","orcid":"https://orcid.org/0000-0002-9545-2098"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Julio C. Dos Reis","raw_affiliation_strings":["Universidade Estadual de Campinas (UNICAMP), Institute of Computing (IC),Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Estadual de Campinas (UNICAMP), Institute of Computing (IC),Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028478887","display_name":"Allan M. de Souza","orcid":"https://orcid.org/0000-0002-5518-8392"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Allan M. de Souza","raw_affiliation_strings":["Universidade Estadual de Campinas (UNICAMP), Institute of Computing (IC),Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Estadual de Campinas (UNICAMP), Institute of Computing (IC),Brazil","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076173074"],"corresponding_institution_ids":["https://openalex.org/I181391015"],"apc_list":null,"apc_paid":null,"fwci":0.3637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68379381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9987999796867371,"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":0.9987999796867371,"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/selection","display_name":"Selection (genetic algorithm)","score":0.7837589979171753},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7423095703125},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.692031741142273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4191751480102539},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4159319996833801},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.05768328905105591}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7837589979171753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7423095703125},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.692031741142273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4191751480102539},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4159319996833801},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.05768328905105591},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc61673.2024.10733694","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscc61673.2024.10733694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1726806267","https://openalex.org/W2112796928","https://openalex.org/W2405578611","https://openalex.org/W2774000609","https://openalex.org/W2898186212","https://openalex.org/W2989289980","https://openalex.org/W3015636663","https://openalex.org/W3021654819","https://openalex.org/W3047304572","https://openalex.org/W3091870957","https://openalex.org/W3103272945","https://openalex.org/W3113075536","https://openalex.org/W3128792537","https://openalex.org/W3184027917","https://openalex.org/W3199795011","https://openalex.org/W4212774754","https://openalex.org/W4226101686","https://openalex.org/W4283798023","https://openalex.org/W4287124556","https://openalex.org/W4287647398","https://openalex.org/W4287755088","https://openalex.org/W4327767772","https://openalex.org/W4387090542","https://openalex.org/W4393928221","https://openalex.org/W4401023532","https://openalex.org/W6728757088","https://openalex.org/W6746839373","https://openalex.org/W6748019269","https://openalex.org/W6779409229","https://openalex.org/W6780224944","https://openalex.org/W6780897730","https://openalex.org/W6784048413","https://openalex.org/W6798772894","https://openalex.org/W6801103183","https://openalex.org/W6840391442"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Federated":[0,71],"Learning":[1],"is":[2,87,143],"a":[3,13,70,155],"distributed":[4],"approach":[5],"in":[6,146],"which":[7],"multiple":[8],"devices":[9,21,109],"collaborate":[10],"to":[11,26,44,80],"train":[12],"shared":[14],"global":[15,29,129,149],"model.":[16,30],"During":[17],"its":[18],"training,":[19],"client":[20,93],"must":[22],"communicate":[23],"their":[24],"gradients":[25],"update":[27],"the":[28,53,82,106,121,128,148,174,178],"This":[31],"incurs":[32],"significant":[33],"communication":[34,84],"costs":[35],"(bandwidth":[36],"utilization":[37],"and":[38,49,75,95,118,137,159],"number":[39,107],"of":[40,56,108,123],"messages":[41],"exchanged),":[42],"leading":[43],"many":[45],"challenges":[46],"(communication":[47],"bottlenecks":[48],"scalability":[50],"issues).":[51],"Furthermore,":[52],"heterogeneous":[54,125],"nature":[55],"clients\u2019":[57,124,179],"datasets":[58,139],"poses":[59],"an":[60,88],"extra":[61],"training":[62,78,110,147],"challenge.":[63],"In":[64],"this":[65],"sense,":[66],"we":[67],"introduce":[68],"FedCCSKD,":[69],"Clustered":[72],"Client":[73],"Selection":[74],"Knowledge":[76],"Distillation":[77],"algorithm,":[79],"decrease":[81],"overall":[83],"costs.":[85],"FedCCSKD":[86,142,153],"innovative":[89],"combination":[90],"of:":[91],"(i)":[92,104],"selection,":[94],"(ii)":[96,114],"knowledge":[97],"distillation":[98],"approaches":[99],"with":[100],"three":[101],"main":[102],"objectives:":[103],"reducing":[105],"at":[111],"every":[112],"round;":[113],"increasing":[115],"convergence":[116,161],"speed;":[117],"(iii)":[119],"mitigating":[120],"effect":[122],"data":[126],"on":[127,135,177],"model":[130,150],"effectiveness.":[131],"Our":[132,166],"experimental":[133],"evaluations":[134],"MNIST":[136],"MotionSense":[138],"demonstrate":[140],"that":[141],"highly":[144],"efficient":[145],"until":[151],"convergence.":[152],"reaches":[154],"higher":[156,170],"accuracy":[157,175],"score":[158],"faster":[160],"than":[162],"state-of-the-art":[163],"baseline":[164],"models.":[165],"results":[167],"also":[168],"show":[169],"performance":[171],"when":[172],"analyzing":[173],"scores":[176],"datasets.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
