{"id":"https://openalex.org/W4407026180","doi":"https://doi.org/10.1109/tgrs.2025.3537085","title":"Toward Federated Customized Neural Architecture Search for Remote Sensing Scene Classification","display_name":"Toward Federated Customized Neural Architecture Search for Remote Sensing Scene Classification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407026180","doi":"https://doi.org/10.1109/tgrs.2025.3537085"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3537085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3537085","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5103165266","display_name":"Jianzhao Li","orcid":"https://orcid.org/0000-0002-1524-1363"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhao Li","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1524-1363","affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101427060","display_name":"Shanfeng Wang","orcid":"https://orcid.org/0000-0002-2151-6722"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanfeng Wang","raw_affiliation_strings":["Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-2151-6722","affiliations":[{"raw_affiliation_string":"Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115591390","display_name":"Rui Yang","orcid":"https://orcid.org/0000-0001-5495-0165"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Yang","raw_affiliation_strings":["Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091227928","display_name":"Maoguo Gong","orcid":"https://orcid.org/0000-0002-0415-8556"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoguo Gong","raw_affiliation_strings":["School of Cyber Engineering, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-0415-8556","affiliations":[{"raw_affiliation_string":"School of Cyber Engineering, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024283292","display_name":"Zhuping Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I22046295","display_name":"Inner Mongolia Normal University","ror":"https://ror.org/0497ase59","country_code":"CN","type":"education","lineage":["https://openalex.org/I22046295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuping Hu","raw_affiliation_strings":["Academy of Artificial Intelligence, College of Mathematics Science, Inner Mongolia Normal University, Hohhot, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Artificial Intelligence, College of Mathematics Science, Inner Mongolia Normal University, Hohhot, China","institution_ids":["https://openalex.org/I22046295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404886","display_name":"Ning Zhang","orcid":"https://orcid.org/0000-0002-8781-4925"},"institutions":[{"id":"https://openalex.org/I4210146919","display_name":"Shanghai Industrial Technology Institute","ror":"https://ror.org/03j1pdd39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210146919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Zhang","raw_affiliation_strings":["Shanghai Aerospace Electronic Technology Institute, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Aerospace Electronic Technology Institute, Shanghai, China","institution_ids":["https://openalex.org/I4210146919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056601955","display_name":"Kai Sheng","orcid":"https://orcid.org/0000-0001-6602-7212"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Sheng","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6602-7212","affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024112348","display_name":"Yu Zhou","orcid":"https://orcid.org/0009-0006-9950-4728"},"institutions":[{"id":"https://openalex.org/I22046295","display_name":"Inner Mongolia Normal University","ror":"https://ror.org/0497ase59","country_code":"CN","type":"education","lineage":["https://openalex.org/I22046295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhou","raw_affiliation_strings":["Academy of Artificial Intelligence, College of Mathematics Science, Inner Mongolia Normal University, Hohhot, China"],"raw_orcid":"https://orcid.org/0009-0006-9950-4728","affiliations":[{"raw_affiliation_string":"Academy of Artificial Intelligence, College of Mathematics Science, Inner Mongolia Normal University, Hohhot, China","institution_ids":["https://openalex.org/I22046295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2859,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.87229166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7688452005386353},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.567432701587677},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5057098865509033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45233771204948425},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.41181710362434387},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3210746645927429},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12143918871879578},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09962069988250732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7688452005386353},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.567432701587677},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5057098865509033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45233771204948425},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.41181710362434387},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3210746645927429},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12143918871879578},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09962069988250732},{"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/tgrs.2025.3537085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3537085","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1733534984","display_name":null,"funder_award_id":"2022YFB4300700","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1890431878","display_name":null,"funder_award_id":"62476210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1949608614","display_name":null,"funder_award_id":"62036006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2253590344","https://openalex.org/W2515866431","https://openalex.org/W2592962403","https://openalex.org/W2610166850","https://openalex.org/W2618530766","https://openalex.org/W2626107033","https://openalex.org/W2770429219","https://openalex.org/W2962217138","https://openalex.org/W2962851801","https://openalex.org/W2963136578","https://openalex.org/W2963163009","https://openalex.org/W2963318081","https://openalex.org/W2964233199","https://openalex.org/W2967733054","https://openalex.org/W2989289980","https://openalex.org/W3015063979","https://openalex.org/W3015636663","https://openalex.org/W3016632787","https://openalex.org/W3021654819","https://openalex.org/W3022140654","https://openalex.org/W3034429256","https://openalex.org/W3034906194","https://openalex.org/W3036479037","https://openalex.org/W3086451439","https://openalex.org/W3090615085","https://openalex.org/W3100837220","https://openalex.org/W3101627915","https://openalex.org/W3105577662","https://openalex.org/W3113299742","https://openalex.org/W3118513496","https://openalex.org/W3155649272","https://openalex.org/W3175184835","https://openalex.org/W3183627618","https://openalex.org/W3184784968","https://openalex.org/W3192682950","https://openalex.org/W3201623325","https://openalex.org/W3213288046","https://openalex.org/W3214227590","https://openalex.org/W4200571910","https://openalex.org/W4205484788","https://openalex.org/W4290043215","https://openalex.org/W4290712873","https://openalex.org/W4309368611","https://openalex.org/W4313555745","https://openalex.org/W4320018442","https://openalex.org/W4322706789","https://openalex.org/W4323896985","https://openalex.org/W4367663371","https://openalex.org/W4384009247","https://openalex.org/W4385453029","https://openalex.org/W4386041175","https://openalex.org/W4386737044","https://openalex.org/W4387806839","https://openalex.org/W4389352407","https://openalex.org/W4390874437","https://openalex.org/W4391895716","https://openalex.org/W4392173896","https://openalex.org/W4392449742","https://openalex.org/W4394698557","https://openalex.org/W4399145856","https://openalex.org/W6637373629","https://openalex.org/W6726275242","https://openalex.org/W6728757088","https://openalex.org/W6739917289","https://openalex.org/W6752515464","https://openalex.org/W6766225098","https://openalex.org/W6850020804"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,75,128],"(RS)":[2],"scenarios":[3],"usually":[4],"involve":[5],"sensitive":[6],"geographic":[7],"information":[8],"on":[9,31,209],"national":[10],"security":[11,43],"and":[12,29,41,80,98,201,206,217,222],"regional":[13],"development.":[14],"In":[15,67],"the":[16,51,133,169,176,215,223],"commonly":[17],"used":[18],"centralized":[19],"machine-learning":[20],"paradigm,":[21],"data":[22,42,145,197,199],"dispersed":[23],"in":[24,114,142,166,194],"various":[25],"locations":[26],"are":[27],"concentrated":[28],"processed":[30],"a":[32,72,82,149,156,186],"single":[33],"server,":[34],"which":[35],"is":[36,47,109,164],"prone":[37],"to":[38,49,64,88,111,126,147,236],"privacy":[39,146],"leakage":[40],"concerns.":[44],"Besides,":[45],"it":[46],"difficult":[48],"solve":[50],"high":[52],"heterogeneity":[53],"of":[54,171,196,219],"RS":[55,103,173],"images":[56],"by":[57],"simply":[58],"applying":[59],"federated":[60,73,188],"learning":[61],"(FL)":[62],"algorithms":[63],"scene":[65,76,104,129],"classification.":[66],"this":[68],"article,":[69],"we":[70],"formulate":[71],"remote":[74,127],"classification":[77,130],"(FedSC)":[78],"framework,":[79],"design":[81],"customized":[83,157],"neural":[84],"architecture":[85],"search":[86],"(CNAS)":[87],"achieve":[89],"both":[90],"global":[91,151],"generality":[92],"for":[93,101,160,192],"multiparty":[94],"collaborative":[95,139,189],"distributed":[96,140],"training":[97,141,190],"local":[99,158],"specificity":[100],"personalized":[102,202],"customization.":[105,203],"The":[106],"proposed":[107,177,224],"FedSC":[108],"generalizable":[110],"be":[112],"implemented":[113],"any":[115],"manually":[116],"designed":[117,134],"networks,":[118],"network":[119],"pruning":[120],"strategies,":[121],"or":[122],"NAS":[123],"methods":[124],"related":[125],"(RSSC).":[131],"While":[132],"CNAS":[135],"not":[136],"only":[137],"achieves":[138],"protecting":[143],"participant":[144,162],"obtain":[148],"generalized":[150],"model,":[152],"but":[153],"also":[154],"provides":[155,185],"model":[159],"each":[161],"that":[163],"more":[165],"line":[167],"with":[168],"characteristics":[170],"private":[172],"scenarios.":[174],"Overall,":[175],"FedSC<inline-formula":[178,225],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[179,226],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[180,227],"<tex-math":[181,228],"notation=\"LaTeX\">$_{\\textrm":[182,229],"{CNAS}}$":[183,230],"</tex-math></inline-formula>":[184,231],"novel":[187],"paradigm":[191],"RSSC":[193,212],"terms":[195],"privacy,":[198],"heterogeneity,":[200],"Extensive":[204],"analytical":[205],"comparative":[207],"experiments":[208],"three":[210],"benchmark":[211],"datasets":[213],"validate":[214],"versatility":[216],"effectiveness":[218],"our":[220],"methods,":[221],"exhibits":[232],"superior":[233],"competitiveness":[234],"compared":[235],"state-of-the-art":[237],"methods.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-02-01T00:00:00"}