{"id":"https://openalex.org/W4402352812","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650653","title":"EFNAS: Efficient Federated Neural Architecture Search Across AIoT Devices","display_name":"EFNAS: Efficient Federated Neural Architecture Search Across AIoT Devices","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352812","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650653"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650653","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5101467861","display_name":"Xiaohui Wei","orcid":"https://orcid.org/0000-0001-8813-5396"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaohui Wei","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,Changchun,China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065557593","display_name":"Guanhua Chen","orcid":"https://orcid.org/0009-0007-4624-0295"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanhua Chen","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,Changchun,China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350481","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0003-1645-9994"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Yang","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,Changchun,China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087484624","display_name":"Hairui Zhao","orcid":"https://orcid.org/0009-0008-7081-5172"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hairui Zhao","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,Changchun,China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115695347","display_name":"Chenyang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Wang","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,Changchun,China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033259177","display_name":"Hengshan Yue","orcid":"https://orcid.org/0000-0003-2189-8385"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengshan Yue","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,Changchun,China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101467861"],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14629803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9991999864578247,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9943000078201294,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7794941663742065},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.7244116067886353},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5518648028373718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.335111141204834},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.325771689414978}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7794941663742065},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.7244116067886353},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5518648028373718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.335111141204834},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.325771689414978},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650653","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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":42,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2953604046","https://openalex.org/W2960010704","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2963819344","https://openalex.org/W2963821229","https://openalex.org/W2964081807","https://openalex.org/W2965658867","https://openalex.org/W2967733054","https://openalex.org/W2981748264","https://openalex.org/W3000557999","https://openalex.org/W3008856552","https://openalex.org/W3034609471","https://openalex.org/W3089578458","https://openalex.org/W3096015116","https://openalex.org/W3096533519","https://openalex.org/W3118608800","https://openalex.org/W3119381431","https://openalex.org/W3172744943","https://openalex.org/W3184784968","https://openalex.org/W3209696639","https://openalex.org/W3215818562","https://openalex.org/W4214764913","https://openalex.org/W4221166855","https://openalex.org/W4240025398","https://openalex.org/W4289147229","https://openalex.org/W4311112622","https://openalex.org/W4387092277","https://openalex.org/W6728757088","https://openalex.org/W6729448088","https://openalex.org/W6730091202","https://openalex.org/W6745614327","https://openalex.org/W6752515464","https://openalex.org/W6756756286","https://openalex.org/W6756887525","https://openalex.org/W6757204547","https://openalex.org/W6766225098","https://openalex.org/W6772812598","https://openalex.org/W6779537292","https://openalex.org/W6784555932","https://openalex.org/W6810208950"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W2038503502"],"abstract_inverted_index":{"Federated":[0,14,82],"neural":[1],"architecture":[2,100,127,168,175],"search":[3,95],"tailors":[4],"deep":[5],"learning":[6],"models":[7],"to":[8,26,61,93,108,114,149,200],"accommodate":[9],"varied":[10],"client":[11,41,134,160],"data":[12],"in":[13,31,52],"Learning":[15],"(FL)":[16],"scenarios.":[17],"However,":[18],"the":[19,45,97,111,125,162,170,174],"simultaneous":[20],"optimization":[21],"of":[22,55,164],"multiple":[23,147],"subnetworks":[24],"leads":[25],"substantial":[27],"GPU":[28],"memory":[29],"overhead":[30],"differentiable":[32],"Neural":[33],"Architecture":[34,121],"Search":[35,91],"(NAS)":[36],"methods.":[37,202],"Additionally,":[38],"after":[39],"each":[40,159],"searches":[42],"local":[43],"architecture,":[44,158,172],"conventional":[46],"weighted":[47],"averaging":[48],"approach":[49],"may":[50],"result":[51],"a":[53,77,129,151],"loss":[54],"architectural":[56,63],"feature":[57],"information":[58],"and":[59,68,80],"failure":[60],"capture":[62],"diversity,":[64],"limiting":[65],"model":[66,181],"performance":[67,193],"expressiveness.":[69],"To":[70],"address":[71],"these":[72],"challenges,":[73],"we":[74,86,118],"propose":[75,87,119],"EFNAS,":[76],"novel":[78],"computation-efficient":[79],"aggregation-effective":[81],"NAS":[83],"framework.":[84],"Specifically,":[85],"Single":[88],"Path":[89],"Local":[90],"(SPLS)":[92],"automatically":[94],"for":[96,178],"optimal":[98],"network":[99],"with":[101,131,169],"minimal":[102],"complexity.":[103,116],"SPLS":[104],"uses":[105],"Gumbel":[106],"Softmax":[107],"continually":[109],"reparameterize":[110],"probability":[112],"distribution":[113],"reduce":[115],"Furthermore,":[117],"Client-Centric":[120],"Aggregation":[122],"(CCAA),":[123],"considering":[124],"aggregated":[126],"as":[128],"graph":[130],"subgraphs":[132,142],"representing":[133],"architectures.":[135],"CCAA":[136],"leverages":[137],"probabilistic":[138],"distributions":[139],"extracted":[140],"from":[141],"that":[143,189],"frequently":[144],"appear":[145],"across":[146],"clients":[148],"derive":[150],"global":[152,157,171],"architecture.":[153,182],"Guided":[154],"by":[155],"this":[156],"compares":[161],"accuracy":[163],"its":[165,179],"locally":[166],"searched":[167],"selecting":[173],"best":[176],"suited":[177],"final":[180],"Comprehensive":[183],"experiments":[184],"on":[185],"various":[186],"datasets":[187],"demonstrate":[188],"EFNAS":[190],"achieves":[191],"excellent":[192],"while":[194],"guaranteeing":[195],"efficiency":[196],"during":[197],"searching":[198],"compared":[199],"other":[201]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
