{"id":"https://openalex.org/W4387609238","doi":"https://doi.org/10.1109/tmc.2023.3323645","title":"Contextual Client Selection for Efficient Federated Learning Over Edge Devices","display_name":"Contextual Client Selection for Efficient Federated Learning Over Edge Devices","publication_year":2023,"publication_date":"2023-10-13","ids":{"openalex":"https://openalex.org/W4387609238","doi":"https://doi.org/10.1109/tmc.2023.3323645"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2023.3323645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2023.3323645","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-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/A5080406360","display_name":"Qiying Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiying Pan","raw_affiliation_strings":["UM-SJTU Joint Institute, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"UM-SJTU Joint Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019237726","display_name":"Hangrui Cao","orcid":"https://orcid.org/0000-0001-7499-5272"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hangrui Cao","raw_affiliation_strings":["UM-SJTU Joint Institute, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"UM-SJTU Joint Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000882682","display_name":"Yifei Zhu","orcid":"https://orcid.org/0000-0003-4352-6507"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Zhu","raw_affiliation_strings":["UM-SJTU Joint Institute, Shanghai Jiao Tong University, Shanghai, China","Cooperative Medianet Innovation Center (CMIC), Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"UM-SJTU Joint Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Cooperative Medianet Innovation Center (CMIC), Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I4210099312","https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039311485","display_name":"Jiangchuan Liu","orcid":"https://orcid.org/0000-0001-6592-1984"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jiangchuan Liu","raw_affiliation_strings":["Simon Fraser University, Burnaby, BC, Canada"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100374506","display_name":"Bo Li","orcid":"https://orcid.org/0000-0003-2083-9105"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080406360"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":3.9953,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.95023641,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"23","issue":"6","first_page":"6538","last_page":"6548"},"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":0.9986000061035156,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.8913323879241943},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.6737826466560364},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6035829782485962},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.5705907344818115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.554260790348053},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5493565797805786},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4665510356426239},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.45920616388320923},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.45268455147743225},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3853559195995331},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3542923331260681},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.17758971452713013}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8913323879241943},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.6737826466560364},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6035829782485962},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.5705907344818115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.554260790348053},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5493565797805786},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4665510356426239},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.45920616388320923},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.45268455147743225},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3853559195995331},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3542923331260681},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.17758971452713013},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmc.2023.3323645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2023.3323645","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-132153","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-132153","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7209038422","display_name":null,"funder_award_id":"62302292","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W131745075","https://openalex.org/W1515851193","https://openalex.org/W1944205345","https://openalex.org/W1997783781","https://openalex.org/W2057050711","https://openalex.org/W2112420033","https://openalex.org/W2130354913","https://openalex.org/W2145349611","https://openalex.org/W2402268235","https://openalex.org/W2621265919","https://openalex.org/W2798720628","https://openalex.org/W2807006176","https://openalex.org/W2900120080","https://openalex.org/W2900182564","https://openalex.org/W2963318081","https://openalex.org/W3038426846","https://openalex.org/W3047304572","https://openalex.org/W3091338440","https://openalex.org/W3102449016","https://openalex.org/W3105122387","https://openalex.org/W3111512201","https://openalex.org/W3126329292","https://openalex.org/W3130016916","https://openalex.org/W3137605545","https://openalex.org/W3174401204","https://openalex.org/W3215249070","https://openalex.org/W4205335850","https://openalex.org/W4206320562","https://openalex.org/W4214607237","https://openalex.org/W4226167551","https://openalex.org/W4285504041","https://openalex.org/W4287326768","https://openalex.org/W4295847265","https://openalex.org/W4313639416","https://openalex.org/W6629956336","https://openalex.org/W6640716383","https://openalex.org/W6726651112","https://openalex.org/W6728757088","https://openalex.org/W6738602561","https://openalex.org/W6749892895","https://openalex.org/W6752029299","https://openalex.org/W6752495264","https://openalex.org/W6754434200","https://openalex.org/W6755988804","https://openalex.org/W6759238902","https://openalex.org/W6779558354","https://openalex.org/W6790759947","https://openalex.org/W6795916790"],"related_works":["https://openalex.org/W4313339048","https://openalex.org/W4386004629","https://openalex.org/W3176734149","https://openalex.org/W3201779876","https://openalex.org/W3113627641","https://openalex.org/W2918879532","https://openalex.org/W3083220997","https://openalex.org/W2885461866","https://openalex.org/W3162654428","https://openalex.org/W2901937988"],"abstract_inverted_index":{"Federated":[0],"learning":[1,9],"(FL)":[2],"has":[3,134],"emerged":[4],"as":[5],"a":[6,66,85,105,135,153,160],"prominent":[7],"distributed":[8],"paradigm,":[10],"enabling":[11,121],"collaborative":[12],"training":[13,51,157],"of":[14,57,124],"neural":[15],"network":[16],"models":[17],"across":[18,75],"local":[19,76],"devices":[20],"with":[21],"raw":[22],"data":[23,35,96],"stay":[24],"local.":[25],"However,":[26],"FL":[27,42],"systems":[28,43],"often":[29],"encounter":[30],"significant":[31],"challenges":[32],"due":[33],"to":[34,78,90,113,168],"heterogeneity.":[36],"Specifically,":[37],"the":[38,47,55,58,169,172],"non-IID":[39],"dataset":[40],"in":[41,152,156,163,171],"substantially":[44],"slows":[45],"down":[46],"convergence":[48],"speed":[49],"during":[50],"and":[52,98,119,159],"adversely":[53],"impacts":[54],"accuracy":[56],"final":[59,164],"model.":[60],"In":[61],"our":[62,131,146],"paper,":[63],"we":[64],"introduce":[65],"novel":[67,106],"client":[68,92,117,125],"selection":[69,123],"framework":[70,82,147],"that":[71,130,145],"judiciously":[72],"leverages":[73],"correlations":[74],"datasets":[77,142],"accelerate":[79],"training.":[80],"Our":[81],"first":[83],"employs":[84],"lightweight":[86],"locality-sensitive":[87],"hashing":[88],"algorithm":[89,112],"extract":[91],"features":[93,118],"while":[94],"respecting":[95],"privacy":[97],"incurring":[99],"minimal":[100],"overhead.":[101],"We":[102,127],"then":[103],"design":[104],"Neural":[107],"Contextual":[108],"Combinatorial":[109],"Bandit":[110],"(NCCB)":[111],"establish":[114],"relationships":[115],"between":[116],"rewards,":[120],"intelligent":[122],"combinations.":[126],"theoretically":[128],"prove":[129],"proposed":[132],"NCCB":[133],"bounded":[136],"regret.":[137],"Extensive":[138],"experiments":[139],"on":[140],"real-world":[141],"further":[143],"demonstrate":[144],"surpasses":[148],"state-of-the-art":[149],"solutions,":[150],"resulting":[151],"50%":[154],"reduction":[155],"time":[158],"17%":[161],"increase":[162],"model":[165],"accuracy,":[166],"closing":[167],"performance":[170],"ideal":[173],"IID":[174],"case.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":9}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-10-10T00:00:00"}