{"id":"https://openalex.org/W4417284454","doi":"https://doi.org/10.1109/pimrc62392.2025.11274941","title":"Enhanced Optimal Stopping Algorithm-Assisted Node Selection in IoT Network for Federated Learning","display_name":"Enhanced Optimal Stopping Algorithm-Assisted Node Selection in IoT Network for Federated Learning","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4417284454","doi":"https://doi.org/10.1109/pimrc62392.2025.11274941"},"language":null,"primary_location":{"id":"doi:10.1109/pimrc62392.2025.11274941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc62392.2025.11274941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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/A5120788086","display_name":"Moncef Zarrouk","orcid":null},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Moncef Zarrouk","raw_affiliation_strings":["ENSIAS, Mohammed V University in Rabat,Morocco"],"affiliations":[{"raw_affiliation_string":"ENSIAS, Mohammed V University in Rabat,Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075380587","display_name":"Faissal El Bouanani","orcid":"https://orcid.org/0000-0001-8141-6793"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Faissal El Bouanani","raw_affiliation_strings":["ENSIAS, Mohammed V University in Rabat,Morocco"],"affiliations":[{"raw_affiliation_string":"ENSIAS, Mohammed V University in Rabat,Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037552656","display_name":"Zakaria El Allali","orcid":"https://orcid.org/0000-0002-3146-6423"},"institutions":[{"id":"https://openalex.org/I4210108110","display_name":"Mohamed I University","ror":"https://ror.org/01ejxf797","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210108110"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Zakaria E L Allali","raw_affiliation_strings":["FPN, Mohammed First University,Oujda,Morocco"],"affiliations":[{"raw_affiliation_string":"FPN, Mohammed First University,Oujda,Morocco","institution_ids":["https://openalex.org/I4210108110"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5120788086"],"corresponding_institution_ids":["https://openalex.org/I126477371"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22214006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.73580002784729,"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":0.73580002784729,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.09160000085830688,"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"}},{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.018400000408291817,"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/mnist-database","display_name":"MNIST database","score":0.7300000190734863},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.7188000082969666},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.683899998664856},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6690000295639038},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6358000040054321},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4611000120639801},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.43650001287460327},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4115000069141388},{"id":"https://openalex.org/keywords/selection-algorithm","display_name":"Selection algorithm","score":0.4004000127315521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7591999769210815},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.7300000190734863},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.7188000082969666},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.683899998664856},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6690000295639038},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6358000040054321},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4611000120639801},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43810001015663147},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.43650001287460327},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4115000069141388},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.4004000127315521},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37310001254081726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3675999939441681},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.3497999906539917},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.34450000524520874},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.3346000015735626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33180001378059387},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.32839998602867126},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.32420000433921814},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.32280001044273376},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.3167000114917755},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.29159998893737793},{"id":"https://openalex.org/C5465570","wikidata":"https://www.wikidata.org/wiki/Q5326898","display_name":"Early stopping","level":3,"score":0.28220000863075256},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.26339998841285706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc62392.2025.11274941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc62392.2025.11274941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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":13,"referenced_works":["https://openalex.org/W2007339694","https://openalex.org/W2916641566","https://openalex.org/W2950863887","https://openalex.org/W2973449430","https://openalex.org/W2989289980","https://openalex.org/W3004277316","https://openalex.org/W3015471529","https://openalex.org/W3046653923","https://openalex.org/W3097576778","https://openalex.org/W3129195893","https://openalex.org/W3134070916","https://openalex.org/W3216108359","https://openalex.org/W4410114542"],"related_works":[],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"in":[2,93],"Internet":[3],"of":[4,58],"Things":[5],"(IoT)":[6],"networks":[7],"involves":[8],"a":[9,21,41,47,70,104],"critical":[10],"trade-off":[11],"between":[12],"resource":[13],"efficiency":[14],"and":[15,35,89,124],"global":[16,94],"model":[17,32,95],"performance.":[18],"We":[19],"propose":[20],"lightweight":[22],"optimal":[23],"stopping":[24],"theory-assisted":[25],"node":[26],"selection":[27],"strategy,":[28],"which":[29],"unifies":[30],"local":[31],"accuracy":[33,96],"(LMA)":[34],"received":[36],"signal":[37],"strength":[38],"(RSS)":[39],"into":[40],"single":[42],"scoring":[43],"metric":[44],"governed":[45],"by":[46],"tunable":[48],"parameter":[49],"\u03b1.":[50],"The":[51,73],"optimized":[52],"value":[53],"\u03b1":[54],"maximizing":[55],"the":[56,60,86],"probability":[57],"picking":[59],"best":[61],"elements":[62],"following":[63],"our":[64,118],"strategy":[65],"has":[66],"been":[67,77,83],"obtained":[68],"through":[69,79],"probabilistic":[71],"framework.":[72],"analytical":[74],"results":[75],"have":[76,82],"confirmed":[78],"simulation.":[80],"Experiments":[81],"conducted":[84],"employing":[85],"MNIST":[87],"dataset":[88],"show":[90],"consistent":[91],"improvements":[92],"compared":[97],"to":[98],"four":[99],"baseline":[100],"strategies,":[101],"while":[102],"ensuring":[103],"suitable":[105],"complexity":[106],"for":[107],"real-time":[108],"IoT":[109],"deployment.":[110],"Moreover,":[111],"unlike":[112],"clustering-based":[113],"or":[114],"secretary":[115],"problem-inspired":[116],"approaches,":[117],"method":[119],"evaluates":[120],"all":[121],"nodes":[122],"globally":[123],"performs":[125],"reliably":[126],"even":[127],"with":[128],"limited":[129],"candidate":[130],"availability.":[131]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-12-12T00:00:00"}
