{"id":"https://openalex.org/W4406415661","doi":"https://doi.org/10.1109/tpds.2025.3526238","title":"A Comparative Study of Sampling Methods With Cross-Validation in the FedHome Framework","display_name":"A Comparative Study of Sampling Methods With Cross-Validation in the FedHome Framework","publication_year":2025,"publication_date":"2025-01-15","ids":{"openalex":"https://openalex.org/W4406415661","doi":"https://doi.org/10.1109/tpds.2025.3526238"},"language":"en","primary_location":{"id":"doi:10.1109/tpds.2025.3526238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2025.3526238","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"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 Parallel and Distributed Systems","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/A5116239878","display_name":"Arash Ahmadi","orcid":"https://orcid.org/0000-0003-0369-7387"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Arash Ahmadi","raw_affiliation_strings":["School of Electrical, and Computer Engineering, University of Oklahoma, Norman, OK, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, and Computer Engineering, University of Oklahoma, Norman, OK, USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033454223","display_name":"Safura Sharifi","orcid":"https://orcid.org/0000-0002-4667-6650"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarah S. Sharif","raw_affiliation_strings":["School of Electrical, and Computer Engineering, University of Oklahoma, Norman, OK, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, and Computer Engineering, University of Oklahoma, Norman, OK, USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068910901","display_name":"Yaser Mike Banad","orcid":"https://orcid.org/0000-0001-7339-810X"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaser M. Banad","raw_affiliation_strings":["School of Electrical, and Computer Engineering, University of Oklahoma, Norman, OK, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, and Computer Engineering, University of Oklahoma, Norman, OK, USA","institution_ids":["https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5116239878"],"corresponding_institution_ids":["https://openalex.org/I8692664"],"apc_list":null,"apc_paid":null,"fwci":24.8488,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.99321532,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"36","issue":"3","first_page":"570","last_page":"579"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9987000226974487,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9987000226974487,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9962000250816345,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7716820240020752},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.42080366611480713},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14112195372581482}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7716820240020752},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.42080366611480713},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14112195372581482},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tpds.2025.3526238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2025.3526238","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"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 Parallel and Distributed Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2132791018","https://openalex.org/W2148143831","https://openalex.org/W2334028018","https://openalex.org/W2530417694","https://openalex.org/W2735186907","https://openalex.org/W2800788706","https://openalex.org/W2891772212","https://openalex.org/W2912213068","https://openalex.org/W3015351929","https://openalex.org/W3082059448","https://openalex.org/W3110009138","https://openalex.org/W3118974431","https://openalex.org/W4226464009","https://openalex.org/W4323051174","https://openalex.org/W4385958045","https://openalex.org/W4389600368","https://openalex.org/W6728757088","https://openalex.org/W6755068953"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0,181],"article":[1],"presents":[2],"a":[3,116,158,166],"comparative":[4],"study":[5],"of":[6,120,147,162,169,186,194],"sampling":[7],"methods":[8,87],"within":[9,199],"the":[10,47,68,110,153,184,190,200],"FedHome":[11,19,201],"framework,":[12],"designed":[13],"for":[14],"personalized":[15,195],"in-home":[16],"health":[17,51,196],"monitoring.":[18],"leverages":[20],"federated":[21],"learning":[22],"(FL)":[23],"and":[24,84,99,132,149,192],"generative":[25],"convolutional":[26],"autoencoders":[27],"(GCAE)":[28],"to":[29,126,188],"train":[30],"models":[31],"on":[32,90],"decentralized":[33],"edge":[34],"devices":[35],"while":[36],"prioritizing":[37],"data":[38],"privacy.":[39],"A":[40],"notable":[41],"challenge":[42],"in":[43,50,137],"this":[44],"domain":[45],"is":[46],"class":[48],"imbalance":[49],"data,":[52],"where":[53],"critical":[54],"events":[55],"such":[56],"as":[57,139,177,179],"falls":[58],"are":[59,88],"underrepresented,":[60],"adversely":[61],"affecting":[62],"model":[63],"performance.":[64],"To":[65],"address":[66],"this,":[67],"research":[69],"evaluates":[70],"six":[71],"oversampling":[72],"techniques":[73],"using":[74],"Stratified":[75],"K-fold":[76,102],"cross-validation:":[77],"SMOTE,":[78],"Borderline-SMOTE,":[79],"Random":[80,154],"OverSampler,":[81],"SMOTE-Tomek,":[82,164],"SVM-SMOTE,":[83],"SMOTE-ENN.":[85,180],"These":[86],"tested":[89],"FedHome's":[91],"public":[92],"implementation":[93],"over":[94],"200":[95],"training":[96],"rounds":[97],"with":[98,115,165],"without":[100],"stratified":[101],"cross-validation.":[103],"The":[104],"findings":[105],"indicate":[106],"that":[107],"SMOTE-ENN":[108,187],"achieves":[109],"most":[111],"consistent":[112],"test":[113],"accuracy,":[114],"standard":[117,144],"deviation":[118,145,160,167],"range":[119,161,168],"0.0167\u20130.0176,":[121],"demonstrating":[122],"stable":[123],"performance":[124],"compared":[125],"other":[127],"samplers.":[128],"In":[129],"contrast,":[130],"SMOTE":[131],"SVM-SMOTE":[133],"exhibit":[134],"higher":[135],"variability":[136],"performance,":[138],"reflected":[140],"by":[141],"their":[142],"wider":[143],"ranges":[146],"0.0157\u20130.0180":[148],"0.0155\u20130.0180,":[150],"respectively.":[151],"Similarly,":[152],"OverSampler":[155],"method":[156],"shows":[157,172],"significant":[159],"0.0155\u20130.0176.":[163],"0.0160\u20130.0175,":[170],"also":[171],"greater":[173],"stability":[174],"but":[175],"not":[176],"much":[178],"finding":[182],"highlights":[183],"potential":[185],"enhance":[189],"reliability":[191],"accuracy":[193],"monitoring":[197],"systems":[198],"framework.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}