{"id":"https://openalex.org/W4411294698","doi":"https://doi.org/10.1142/s0218001425510152","title":"A Transformer-Based Method for Few-Shot Image Recognition in Federated Learning Environments","display_name":"A Transformer-Based Method for Few-Shot Image Recognition in Federated Learning Environments","publication_year":2025,"publication_date":"2025-06-13","ids":{"openalex":"https://openalex.org/W4411294698","doi":"https://doi.org/10.1142/s0218001425510152"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001425510152","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425510152","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5119268694","display_name":"Guodong Wang","orcid":"https://orcid.org/0000-0003-0508-826X"},"institutions":[{"id":"https://openalex.org/I4210103733","display_name":"Shandong Xiehe University","ror":"https://ror.org/01bx4e159","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210103733"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guodong Wang","raw_affiliation_strings":["Shandong Xiehe University, Jinan 250107, P. R. China"],"affiliations":[{"raw_affiliation_string":"Shandong Xiehe University, Jinan 250107, P. R. China","institution_ids":["https://openalex.org/I4210103733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383891","display_name":"Qianqian Li","orcid":null},"institutions":[{"id":"https://openalex.org/I106994412","display_name":"Sinopec (China)","ror":"https://ror.org/0161q6d74","country_code":"CN","type":"company","lineage":["https://openalex.org/I106994412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Li","raw_affiliation_strings":["Sinopec Sales Co., Ltd., Shandong Binzhou Petroleum Branch, Binzhou 256600, P. R. China"],"affiliations":[{"raw_affiliation_string":"Sinopec Sales Co., Ltd., Shandong Binzhou Petroleum Branch, Binzhou 256600, P. R. China","institution_ids":["https://openalex.org/I106994412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085230597","display_name":"Xinyi Lin","orcid":"https://orcid.org/0000-0002-7209-6588"},"institutions":[{"id":"https://openalex.org/I188935350","display_name":"Anhui University of Finance and Economics","ror":"https://ror.org/0152zzg30","country_code":"CN","type":"education","lineage":["https://openalex.org/I188935350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyi Lin","raw_affiliation_strings":["Anhui University of Finance and Economics, Bengbu 233030, P. R. China"],"affiliations":[{"raw_affiliation_string":"Anhui University of Finance and Economics, Bengbu 233030, P. R. China","institution_ids":["https://openalex.org/I188935350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398248","display_name":"Zixuan Wang","orcid":"https://orcid.org/0000-0002-5255-3462"},"institutions":[{"id":"https://openalex.org/I188935350","display_name":"Anhui University of Finance and Economics","ror":"https://ror.org/0152zzg30","country_code":"CN","type":"education","lineage":["https://openalex.org/I188935350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixuan Wang","raw_affiliation_strings":["Anhui University of Finance and Economics, Bengbu 233030, P. R. China"],"affiliations":[{"raw_affiliation_string":"Anhui University of Finance and Economics, Bengbu 233030, P. R. China","institution_ids":["https://openalex.org/I188935350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101764962","display_name":"Fuyang Zhou","orcid":"https://orcid.org/0009-0005-5394-0762"},"institutions":[{"id":"https://openalex.org/I4210103733","display_name":"Shandong Xiehe University","ror":"https://ror.org/01bx4e159","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210103733"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengjun Zhou","raw_affiliation_strings":["Shandong Xiehe University, Jinan, P. R. China"],"affiliations":[{"raw_affiliation_string":"Shandong Xiehe University, Jinan, P. R. China","institution_ids":["https://openalex.org/I4210103733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108223470","display_name":"Qun Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103733","display_name":"Shandong Xiehe University","ror":"https://ror.org/01bx4e159","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210103733"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Wang","raw_affiliation_strings":["Shandong Xiehe University, Jinan, P. R. China"],"affiliations":[{"raw_affiliation_string":"Shandong Xiehe University, Jinan, P. R. China","institution_ids":["https://openalex.org/I4210103733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002736072","display_name":"Weiguo Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103733","display_name":"Shandong Xiehe University","ror":"https://ror.org/01bx4e159","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210103733"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiguo Lai","raw_affiliation_strings":["Shandong Xiehe University, Jinan, P. R. China"],"affiliations":[{"raw_affiliation_string":"Shandong Xiehe University, Jinan, P. R. China","institution_ids":["https://openalex.org/I4210103733"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102426779","display_name":"Xueqiang Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103733","display_name":"Shandong Xiehe University","ror":"https://ror.org/01bx4e159","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210103733"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqiang Gao","raw_affiliation_strings":["Shandong Xiehe University, Jinan, P. R. China"],"affiliations":[{"raw_affiliation_string":"Shandong Xiehe University, Jinan, P. R. China","institution_ids":["https://openalex.org/I4210103733"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5119268694"],"corresponding_institution_ids":["https://openalex.org/I4210103733"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06579427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":"12","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9995999932289124,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9975000023841858,"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":0.7221712470054626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6809569001197815},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.634040892124176},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5281301140785217},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46229642629623413},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4430099129676819},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.41472336649894714},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12434336543083191},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07652395963668823},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07514545321464539}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7221712470054626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6809569001197815},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.634040892124176},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5281301140785217},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46229642629623413},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4430099129676819},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.41472336649894714},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12434336543083191},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07652395963668823},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07514545321464539},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001425510152","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425510152","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2962799101","https://openalex.org/W2963070905","https://openalex.org/W2963819344","https://openalex.org/W2964105864","https://openalex.org/W2995022099","https://openalex.org/W3111091895","https://openalex.org/W3112044954","https://openalex.org/W3130806609","https://openalex.org/W3174142088","https://openalex.org/W4206706211","https://openalex.org/W4287332481","https://openalex.org/W4292737460","https://openalex.org/W4385568170","https://openalex.org/W4391014771","https://openalex.org/W4392901776","https://openalex.org/W4393903249","https://openalex.org/W4396214921","https://openalex.org/W4399813127","https://openalex.org/W4400881081","https://openalex.org/W4403262155","https://openalex.org/W4407638199","https://openalex.org/W4408111552","https://openalex.org/W4408229470","https://openalex.org/W4408352358","https://openalex.org/W4408521007","https://openalex.org/W4412651483"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W4411535265","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W4298312966"],"abstract_inverted_index":{"Few-shot":[0],"image":[1,121],"recognition":[2,36],"in":[3,86,134],"federated":[4,124],"learning":[5],"(FL)":[6],"environments":[7],"presents":[8],"unique":[9],"challenges":[10],"due":[11],"to":[12,54,69,108],"data":[13,40,60],"heterogeneity,":[14],"limited":[15],"local":[16],"samples,":[17],"and":[18,82,140],"strict":[19],"privacy":[20],"constraints.":[21],"To":[22,77],"address":[23],"these":[24],"issues,":[25],"we":[26,89],"propose":[27],"a":[28,63,101],"novel":[29],"Transformer-based":[30],"approach":[31],"that":[32,127],"enables":[33],"effective":[34],"visual":[35],"with":[37],"minimal":[38],"labeled":[39],"on":[41,118],"distributed":[42],"clients.":[43,76],"The":[44],"proposed":[45],"model":[46,110],"introduces":[47],"an":[48,91],"adaptive":[49],"multi-scale":[50],"window":[51],"attention":[52,65],"mechanism":[53],"enhance":[55],"feature":[56],"extraction":[57],"under":[58,123],"sparse":[59],"conditions.":[61],"Furthermore,":[62],"collaborative":[64],"strategy":[66],"is":[67,106],"developed":[68],"enable":[70],"privacy-preserving":[71],"semantic":[72],"knowledge":[73,103],"exchange":[74],"across":[75,112],"alleviate":[78],"the":[79],"class":[80],"imbalance":[81],"overfitting":[83],"problems":[84],"common":[85],"few-shot":[87,120],"settings,":[88],"design":[90],"improved":[92],"Focal":[93],"Loss":[94],"function":[95],"guided":[96],"by":[97],"class-wise":[98],"entropy.":[99],"Additionally,":[100],"progressive":[102],"distillation":[104],"framework":[105],"incorporated":[107],"maintain":[109],"consistency":[111],"training":[113],"rounds.":[114],"Extensive":[115],"experiments":[116],"conducted":[117],"multiple":[119],"benchmarks":[122],"settings":[125],"demonstrate":[126],"our":[128],"method":[129],"significantly":[130],"outperforms":[131],"existing":[132],"baselines":[133],"terms":[135],"of":[136],"accuracy,":[137],"communication":[138],"efficiency,":[139],"generalization.":[141]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}