{"id":"https://openalex.org/W4372266879","doi":"https://doi.org/10.1109/icassp49357.2023.10095274","title":"Client Selection for Generalization in Accelerated Federated Learning: A Bandit Approach","display_name":"Client Selection for Generalization in Accelerated Federated Learning: A Bandit Approach","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372266879","doi":"https://doi.org/10.1109/icassp49357.2023.10095274"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5063168665","display_name":"Dan Ben Ami","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Dan Ben Ami","raw_affiliation_strings":["Ben-Gurion University of the Negev,School of Electrical and Computer Engineering,Beer-Sheva,Israel","School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"Ben-Gurion University of the Negev,School of Electrical and Computer Engineering,Beer-Sheva,Israel","institution_ids":["https://openalex.org/I124227911"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066085947","display_name":"Kobi Cohen","orcid":"https://orcid.org/0000-0003-0532-009X"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Kobi Cohen","raw_affiliation_strings":["Ben-Gurion University of the Negev,School of Electrical and Computer Engineering,Beer-Sheva,Israel","School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"Ben-Gurion University of the Negev,School of Electrical and Computer Engineering,Beer-Sheva,Israel","institution_ids":["https://openalex.org/I124227911"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013788255","display_name":"Qing Zhao","orcid":"https://orcid.org/0000-0002-9590-4285"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qing Zhao","raw_affiliation_strings":["Cornell University,Department of Electrical and Computer Engineering,Ithaca,New York,USA","Department of Electrical and Computer Engineering, Cornell University, Ithaca, New York, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University,Department of Electrical and Computer Engineering,Ithaca,New York,USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Cornell University, Ithaca, New York, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063168665"],"corresponding_institution_ids":["https://openalex.org/I124227911"],"apc_list":null,"apc_paid":null,"fwci":1.5734,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85963087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8276547789573669},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.6030995845794678},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5951366424560547},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.538795530796051},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5337627530097961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4726611375808716},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4683282673358917},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44515615701675415},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.1924719214439392}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8276547789573669},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.6030995845794678},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5951366424560547},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.538795530796051},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5337627530097961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4726611375808716},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4683282673358917},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44515615701675415},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.1924719214439392},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W639949082","https://openalex.org/W1751431909","https://openalex.org/W2150328967","https://openalex.org/W2530395818","https://openalex.org/W2798720628","https://openalex.org/W2898754723","https://openalex.org/W2912592113","https://openalex.org/W2946193510","https://openalex.org/W2952233008","https://openalex.org/W2995022099","https://openalex.org/W3015574552","https://openalex.org/W3021654819","https://openalex.org/W3038028469","https://openalex.org/W3038426846","https://openalex.org/W3088234149","https://openalex.org/W3092144916","https://openalex.org/W3093755649","https://openalex.org/W3095593352","https://openalex.org/W3102381603","https://openalex.org/W3102449016","https://openalex.org/W3105122387","https://openalex.org/W3109504587","https://openalex.org/W3111277265","https://openalex.org/W3121362365","https://openalex.org/W3133599480","https://openalex.org/W3140722389","https://openalex.org/W3148526481","https://openalex.org/W3170766162","https://openalex.org/W3208300320","https://openalex.org/W3212025759","https://openalex.org/W4226236767","https://openalex.org/W4297687186","https://openalex.org/W4318619660","https://openalex.org/W4330337811","https://openalex.org/W6728551298","https://openalex.org/W6728757088","https://openalex.org/W6754620478","https://openalex.org/W6758757267","https://openalex.org/W6759226220","https://openalex.org/W6786606597"],"related_works":["https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2101991911","https://openalex.org/W2155070487","https://openalex.org/W4311589891","https://openalex.org/W3123835761","https://openalex.org/W118270247"],"abstract_inverted_index":{"Federated":[0],"learning":[1,7,116],"(FL)":[2],"is":[3,95,213],"an":[4],"emerging":[5],"machine":[6],"(ML)":[8],"paradigm":[9],"used":[10],"to":[11,38,64,85,96,113,131,143,146,158,188,215],"train":[12,53],"models":[13,56,63],"across":[14],"multiple":[15],"nodes":[16],"(i.e.,":[17],"clients)":[18],"holding":[19],"local":[20,55],"data":[21],"sets,":[22],"without":[23,136],"explicitly":[24],"exchanging":[25],"the":[26,62,65,78,86,101,115,133,138,141,182,196],"data.":[27],"It":[28],"has":[29,192],"attracted":[30],"a":[31,59,69,98,123,155,177,189],"growing":[32],"interest":[33],"in":[34,41,93],"recent":[35],"years":[36],"due":[37],"its":[39],"advantages":[40],"terms":[42],"of":[43,61,100,140,184,199],"privacy":[44],"considerations,":[45],"and":[46,57,72,81,105,172,207],"communication":[47],"resources.":[48],"In":[49,118],"FL,":[50],"selected":[51],"clients":[52,102],"their":[54],"send":[58],"function":[60],"server,":[66],"which":[67],"consumes":[68],"random":[70],"processing":[71],"transmission":[73,106],"time.":[74],"The":[75,88],"server":[76],"updates":[77],"global":[79],"model":[80,142],"broadcasts":[82],"it":[83,175],"back":[84],"clients.":[87,201],"client":[89],"selection":[90],"(CS)":[91],"problem":[92],"FL":[94,166],"schedule":[97],"subset":[99],"for":[103,129,150,165],"training":[104,134],"at":[107],"each":[108],"given":[109],"time":[110],"so":[111],"as":[112,181,186],"optimize":[114],"performance.":[117],"this":[119,160],"paper,":[120],"we":[121],"present":[122],"novel":[124,156],"multi-armed":[125],"bandit":[126],"(MAB)-based":[127],"approach":[128],"CS":[130],"minimize":[132],"latency":[135,197],"harming":[137],"ability":[139],"generalize,":[144],"i.e.,":[145],"give":[147],"reliable":[148],"predictions":[149],"new":[151],"observations.":[152],"We":[153,168],"develop":[154],"algorithm":[157],"achieve":[159],"goal,":[161],"dubbed":[162],"Bandit":[163],"Scheduling":[164],"(BSFL).":[167],"analyze":[169],"BSFL":[170,185,212],"theoretically,":[171],"show":[173],"that":[174,191,211],"achieves":[176],"logarithmic":[178],"regret,":[179],"defined":[180],"loss":[183],"compared":[187],"genie":[190],"complete":[193],"knowledge":[194],"about":[195],"means":[198],"all":[200],"Furthermore,":[202],"simulation":[203],"results":[204],"using":[205],"synthetic":[206],"real":[208],"datasets":[209],"demonstrate":[210],"superior":[214],"existing":[216],"methods.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
