{"id":"https://openalex.org/W4385731911","doi":"https://doi.org/10.1109/jiot.2023.3303889","title":"Data-Augmentation-Based Federated Learning","display_name":"Data-Augmentation-Based Federated Learning","publication_year":2023,"publication_date":"2023-08-10","ids":{"openalex":"https://openalex.org/W4385731911","doi":"https://doi.org/10.1109/jiot.2023.3303889"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3303889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3303889","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5100396946","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0002-6769-2115"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086556649","display_name":"Qingying Hou","orcid":"https://orcid.org/0009-0007-3767-2838"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingying Hou","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447763","display_name":"Tingting Wu","orcid":"https://orcid.org/0000-0003-3437-8899"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Wu","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101603499","display_name":"Siyao Cheng","orcid":"https://orcid.org/0000-0002-1263-9907"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyao Cheng","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100454005","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0001-6209-6886"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["Institute for Artificial Intelligence, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100396946"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":4.7531,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.96007413,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"10","issue":"24","first_page":"22530","last_page":"22541"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9790999889373779,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8682821989059448},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.6888567209243774},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6654250025749207},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5161229372024536},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5037254691123962},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.496613085269928},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4171460270881653},{"id":"https://openalex.org/keywords/data-transmission","display_name":"Data transmission","score":0.41482871770858765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3998183012008667},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2054196000099182}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8682821989059448},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.6888567209243774},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6654250025749207},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5161229372024536},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5037254691123962},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.496613085269928},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4171460270881653},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.41482871770858765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3998183012008667},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2054196000099182},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2023.3303889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3303889","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G2189554391","display_name":null,"funder_award_id":"2021ZD0110900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3284514405","display_name":null,"funder_award_id":"YQ2019F007","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"},{"id":"https://openalex.org/G3518449552","display_name":null,"funder_award_id":"61972114","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4729246649","display_name":null,"funder_award_id":"62106061","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5315742300","display_name":null,"funder_award_id":"2022ZX01A22","funder_id":"https://openalex.org/F4320317323","funder_display_name":"Key Research and Development Program of Heilongjiang"},{"id":"https://openalex.org/G6460267944","display_name":null,"funder_award_id":"FRFCU5710010521","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320317323","display_name":"Key Research and Development Program of Heilongjiang","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W2327941189","https://openalex.org/W2592232824","https://openalex.org/W2750384547","https://openalex.org/W2807006176","https://openalex.org/W2891021639","https://openalex.org/W2904190483","https://openalex.org/W2966896250","https://openalex.org/W2972570881","https://openalex.org/W2981873476","https://openalex.org/W2989289980","https://openalex.org/W2992308087","https://openalex.org/W3005503558","https://openalex.org/W3021654819","https://openalex.org/W3035878150","https://openalex.org/W3037204200","https://openalex.org/W3045747588","https://openalex.org/W3086152015","https://openalex.org/W3086809868","https://openalex.org/W3088898206","https://openalex.org/W3108946571","https://openalex.org/W3110682008","https://openalex.org/W3118608800","https://openalex.org/W3157242219","https://openalex.org/W3182158470","https://openalex.org/W3192098883","https://openalex.org/W3215194618","https://openalex.org/W4224943538","https://openalex.org/W4226142397","https://openalex.org/W4306176212","https://openalex.org/W4312604241","https://openalex.org/W4320067920","https://openalex.org/W4394639701","https://openalex.org/W6728757088","https://openalex.org/W6743073161","https://openalex.org/W6743688258","https://openalex.org/W6745136726","https://openalex.org/W6751420435","https://openalex.org/W6752029299","https://openalex.org/W6755174528","https://openalex.org/W6757172675","https://openalex.org/W6759238902","https://openalex.org/W6760184523","https://openalex.org/W6762913911","https://openalex.org/W6766675127","https://openalex.org/W6767676916","https://openalex.org/W6768537144","https://openalex.org/W6773410789","https://openalex.org/W6773817997","https://openalex.org/W6773976177","https://openalex.org/W6779447676","https://openalex.org/W6779539550","https://openalex.org/W6779565119","https://openalex.org/W6780224944","https://openalex.org/W6781232731","https://openalex.org/W6782317661","https://openalex.org/W6782937392","https://openalex.org/W6784348393","https://openalex.org/W6787972765","https://openalex.org/W6789100154","https://openalex.org/W6789305514","https://openalex.org/W6790034021","https://openalex.org/W6796484261","https://openalex.org/W6804414558","https://openalex.org/W6845948468","https://openalex.org/W6850004136"],"related_works":["https://openalex.org/W4252510819","https://openalex.org/W3012838233","https://openalex.org/W3147584709","https://openalex.org/W2375742443","https://openalex.org/W2149381099","https://openalex.org/W2977677679","https://openalex.org/W1483190388","https://openalex.org/W2370180015","https://openalex.org/W3094550016","https://openalex.org/W2982650128"],"abstract_inverted_index":{"With":[0],"the":[1,5,55,60,63,76,80,94,122,144,191,204,229,232],"rapid":[2],"growth":[3],"of":[4,7,18,22,62,78,82,217,231],"number":[6],"devices":[8],"generating":[9],"and":[10,176,197,225],"collecting":[11],"data,":[12],"dispersion":[13],"becomes":[14],"an":[15,133],"important":[16],"feature":[17],"data":[19,50,56,73,111,118,125,138,146,181,212],"in":[20,34,150,158,248],"Internet":[21],"Things.":[23],"Federated":[24],"learning":[25,42],"(FL)":[26],"provides":[27],"a":[28,179,215],"feasible":[29],"way":[30],"to":[31,54,126,160,164],"mine":[32],"information":[33],"such":[35,89],"distributed":[36,46],"data.":[37,98,156],"It":[38],"involves":[39],"training":[40],"machine":[41],"models":[43],"over":[44],"multiple":[45],"participants":[47],"without":[48,153],"raw":[49,155],"transmission.":[51],"However,":[52],"due":[53],"heterogeneity":[57,74,119],"among":[58],"participants,":[59],"performance":[61,230],"FL":[64,104,128,134,193,233,242],"model":[65,83,105,114],"degrades":[66],"dramatically.":[67],"Currently,":[68],"improved":[69],"methods":[70,237],"mainly":[71],"reduce":[72,117],"from":[75,106],"perspective":[77],"modifying":[79],"process":[81],"training,":[84],"which":[85,244],"usually":[86],"have":[87],"problems,":[88],"as":[90,141],"high-resource":[91],"consumption":[92],"or":[93],"need":[95],"for":[96],"auxiliary":[97],"In":[99],"this":[100,162],"article,":[101],"we":[102,131,167,206],"enhance":[103],"another":[107],"perspective,":[108],"focusing":[109],"on":[110,137,187,210],"rather":[112],"than":[113],"training.":[115],"We":[116],"by":[120,171],"enhancing":[121],"trained":[123],"local":[124],"improve":[127,228],"performance.":[129,249],"Specifically,":[130],"propose":[132,178],"method":[135,148,163,183],"based":[136,186],"augmentation":[139,147,182],"(abbreviated":[140],"FedM-UNE),":[142],"implementing":[143],"classic":[145],"MixUp":[149,170],"federated":[151,180],"scenarios":[152],"transferring":[154],"Furthermore,":[157],"order":[159],"adapt":[161],"regression":[165],"tasks,":[166],"first":[168],"modify":[169],"bilateral":[172],"neighborhood":[173],"expansion":[174],"(MixUp-BNE),":[175],"then":[177],"named":[184],"FedM-BNE":[185,198,226],"it.":[188],"Compared":[189],"with":[190,240],"conventional":[192],"method,":[194],"both":[195],"FedM-UNE":[196,224],"increase":[199],"negligible":[200],"overhead.":[201],"To":[202],"demonstrate":[203],"effectiveness,":[205],"conduct":[207],"exhaustive":[208],"experiments":[209],"six":[211],"sets":[213],"employing":[214],"variety":[216],"loss":[218],"functions.":[219],"The":[220],"results":[221],"indicate":[222],"that":[223],"consistently":[227],"model.":[234],"Moreover,":[235],"our":[236],"are":[238],"compatible":[239],"existing":[241],"enhancements,":[243],"yield":[245],"further":[246],"improvements":[247]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":9}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
