{"id":"https://openalex.org/W7164857247","doi":"https://doi.org/10.1109/tgcn.2026.3704044","title":"Efficient Client Selection in Federated Learning: Integrating Data, Communication, and Cost Factors","display_name":"Efficient Client Selection in Federated Learning: Integrating Data, Communication, and Cost Factors","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7164857247","doi":"https://doi.org/10.1109/tgcn.2026.3704044"},"language":null,"primary_location":{"id":"doi:10.1109/tgcn.2026.3704044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgcn.2026.3704044","pdf_url":null,"source":{"id":"https://openalex.org/S4210192662","display_name":"IEEE Transactions on Green Communications and Networking","issn_l":"2473-2400","issn":["2473-2400"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Green Communications and Networking","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/A5042301488","display_name":"Preti Kumari","orcid":"https://orcid.org/0000-0002-5907-7665"},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Preti Kumari","raw_affiliation_strings":["School of Computing and Electrical Engineering, IIT Mandi, Mandi, India"],"raw_orcid":"https://orcid.org/0000-0002-5907-7665","affiliations":[{"raw_affiliation_string":"School of Computing and Electrical Engineering, IIT Mandi, Mandi, India","institution_ids":["https://openalex.org/I9579091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090813241","display_name":"Hari Prabhat Gupta","orcid":"https://orcid.org/0000-0003-3207-1340"},"institutions":[{"id":"https://openalex.org/I56404289","display_name":"Indian Institute of Technology BHU","ror":"https://ror.org/01kh5gc44","country_code":"IN","type":"education","lineage":["https://openalex.org/I56404289","https://openalex.org/I91357014"]},{"id":"https://openalex.org/I91357014","display_name":"Banaras Hindu University","ror":"https://ror.org/04cdn2797","country_code":"IN","type":"education","lineage":["https://openalex.org/I91357014"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hari Prabhat Gupta","raw_affiliation_strings":["Department of Computer Science and Engineering, IIT (BHU), Varanasi, India"],"raw_orcid":"https://orcid.org/0000-0003-3207-1340","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, IIT (BHU), Varanasi, India","institution_ids":["https://openalex.org/I56404289","https://openalex.org/I91357014"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041189303","display_name":"Biplab Sikdar","orcid":"https://orcid.org/0000-0002-0084-4647"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Biplab Sikdar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Queenstown, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-0084-4647","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Queenstown, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005327587","display_name":"Zehui Xiong","orcid":"https://orcid.org/0000-0002-4440-941X"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zehui Xiong","raw_affiliation_strings":["School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K"],"raw_orcid":"https://orcid.org/0000-0002-4440-941X","affiliations":[{"raw_affiliation_string":"School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.76816348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"3514","last_page":"3526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9222999811172485,"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":0.9222999811172485,"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/T10237","display_name":"Cryptography and Data Security","score":0.024299999698996544,"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/T11719","display_name":"Data Quality and Management","score":0.005900000222027302,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5480999946594238},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.298799991607666},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2892000079154968},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.2784999907016754},{"id":"https://openalex.org/keywords/information-system","display_name":"Information system","score":0.26829999685287476}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6072999835014343},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5480999946594238},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3287999927997589},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.298799991607666},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2703000009059906},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.26420000195503235}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgcn.2026.3704044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgcn.2026.3704044","pdf_url":null,"source":{"id":"https://openalex.org/S4210192662","display_name":"IEEE Transactions on Green Communications and Networking","issn_l":"2473-2400","issn":["2473-2400"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Green Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Federated":[0],"learning":[1,48,167],"addresses":[2],"the":[3,34,40,95,108,116,124,134,153,165,173,187],"requirements":[4],"of":[5,43,110],"modern":[6],"communication":[7,37,69,88,96,136],"networks,":[8],"ensuring":[9,169],"low":[10],"latency,":[11],"resource":[12],"efficiency,":[13],"and":[14,25,36,67,74,76,87,118,127,138,157,182],"data":[15,21,64],"privacy.":[16],"However,":[17],"challenges":[18,29],"arise":[19],"from":[20],"variability,":[22],"device":[23],"heterogeneity,":[24],"constrained":[26],"resources.":[27],"These":[28,160],"worsen":[30],"with":[31,180],"noise":[32,83,181],"in":[33,46,84,115],"dataset":[35,117],"channel.":[38],"Thus,":[39],"efficient":[41,59],"selection":[42,61],"participating":[44],"clients":[45,151,162],"federated":[47,166],"considering":[49,113],"all":[50],"these":[51],"factors":[52],"is":[53,146],"crucial.":[54],"This":[55],"paper":[56],"proposes":[57],"an":[58,91],"client":[60,73,131,139],"approach":[62,189],"integrating":[63],"quality":[65,71],"(noise":[66],"heterogeneity),":[68],"network":[70],"between":[72],"server,":[75],"cost":[77,126,155,192],"budget":[78,156],"considerations.":[79],"Initially,":[80],"we":[81,102,122],"address":[82],"local":[85],"datasets":[86],"channels,":[89],"providing":[90],"expression":[92],"to":[93,106,148,164],"estimate":[94,107,123],"rounds":[97,137],"required":[98],"for":[99,129],"convergence.":[100],"Subsequently,":[101],"introduce":[103],"a":[104,142,191],"method":[105],"reputation":[109],"each":[111,130],"client,":[112],"heterogeneity":[114,183],"devices.":[119],"After":[120],"that,":[121],"training":[125],"time":[128,158],"based":[132],"on":[133],"calculated":[135],"reputation.":[140],"Finally,":[141],"multi-constraint":[143],"knapsack":[144],"problem":[145],"formulated":[147],"select":[149],"high-reputation":[150],"within":[152,172],"given":[154,174],"constraints.":[159,175],"obtained":[161],"contribute":[163],"process,":[168],"maximum":[170],"accuracy":[171],"The":[176],"results":[177],"show":[178],"that":[179],"levels":[184],"surpassing":[185],"60%,":[186],"proposed":[188],"incurs":[190],"at":[193],"least":[194],"27%":[195],"lower":[196],"than":[197],"existing":[198],"approaches.":[199]},"counts_by_year":[],"updated_date":"2026-07-11T05:44:25.926202","created_date":"2026-06-16T00:00:00"}