{"id":"https://openalex.org/W4416756281","doi":"https://doi.org/10.1109/access.2025.3633060","title":"A Hardware-Accelerated Federated Learning With Intuitionistic Fuzzy Security Measures for AI Adaptive Image Computing","display_name":"A Hardware-Accelerated Federated Learning With Intuitionistic Fuzzy Security Measures for AI Adaptive Image Computing","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416756281","doi":"https://doi.org/10.1109/access.2025.3633060"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3633060","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3633060","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3633060","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102630811","display_name":"Yechuan Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I9564693","display_name":"Eastern Liaoning University","ror":"https://ror.org/01a4wvs18","country_code":"CN","type":"education","lineage":["https://openalex.org/I9564693"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yechuan Lin","raw_affiliation_strings":["Network and Informatization Center, Liaodong University, Dandong, Liaoning, China"],"raw_orcid":"https://orcid.org/0009-0008-6668-8481","affiliations":[{"raw_affiliation_string":"Network and Informatization Center, Liaodong University, Dandong, Liaoning, China","institution_ids":["https://openalex.org/I9564693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100783084","display_name":"Lin Wang","orcid":"https://orcid.org/0000-0001-7706-9434"},"institutions":[{"id":"https://openalex.org/I4210123599","display_name":"Liaoning Jianzhu Vocational University","ror":"https://ror.org/03wtdg769","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123599"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Wang","raw_affiliation_strings":["Party and Government Offices, Liaoning Geology Engineering Vocational College, Dandong, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Party and Government Offices, Liaoning Geology Engineering Vocational College, Dandong, Liaoning, China","institution_ids":["https://openalex.org/I4210123599"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101572838","display_name":"Zhixuan Zhang","orcid":"https://orcid.org/0009-0002-8114-9423"},"institutions":[{"id":"https://openalex.org/I9564693","display_name":"Eastern Liaoning University","ror":"https://ror.org/01a4wvs18","country_code":"CN","type":"education","lineage":["https://openalex.org/I9564693"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixuan Zhang","raw_affiliation_strings":["Industrial and Information Development Promotion Center of Dandong, Dandong, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial and Information Development Promotion Center of Dandong, Dandong, Liaoning, China","institution_ids":["https://openalex.org/I9564693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100689967","display_name":"Xiaojian Liu","orcid":"https://orcid.org/0000-0001-8147-9954"},"institutions":[{"id":"https://openalex.org/I9564693","display_name":"Eastern Liaoning University","ror":"https://ror.org/01a4wvs18","country_code":"CN","type":"education","lineage":["https://openalex.org/I9564693"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojian Liu","raw_affiliation_strings":["School of Information Engineering Liaodong University, Dandong, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering Liaodong University, Dandong, Liaoning, China","institution_ids":["https://openalex.org/I9564693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.396,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87306901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"198358","last_page":"198372"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.29120001196861267,"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":0.29120001196861267,"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":0.12729999423027039,"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":0.04170000180602074,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5189999938011169},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5160999894142151},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5004000067710876},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.47369998693466187},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4480000138282776},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.367000013589859},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.3610000014305115},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.34630000591278076}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8766000270843506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5250999927520752},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5189999938011169},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5160999894142151},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5004000067710876},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.47369998693466187},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4480000138282776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4359999895095825},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4000000059604645},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.382099986076355},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.367000013589859},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.3610000014305115},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.34630000591278076},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.3384000062942505},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.3273000121116638},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.3264000117778778},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3215999901294708},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3125},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3001999855041504},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.29319998621940613},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2671999931335449},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.25679999589920044}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3633060","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3633060","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:98615dccfecd4384b313f3f64a6a6a7e","is_oa":true,"landing_page_url":"https://doaj.org/article/98615dccfecd4384b313f3f64a6a6a7e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 198358-198372 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3633060","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3633060","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,89],"paper":[1],"presents":[2],"a":[3,66],"hardware-accelerated":[4,203],"federated":[5,167,204],"learning":[6,69,168],"framework":[7,45,113],"with":[8,26,108,182,202],"intuitionistic":[9,53,199],"fuzzy":[10,54,73,200],"security":[11,135,201],"measures":[12,55],"for":[13,102,118,141,177,191],"adaptive":[14],"medical":[15,36,109,119,213],"image":[16,87,120],"processing.":[17],"The":[18,63,112,170],"proposed":[19],"system":[20,148],"combines":[21],"gaze":[22],"shift":[23],"path":[24],"modeling":[25],"FPGA-optimized":[27],"feature":[28,128,154],"extraction":[29],"to":[30,56,160,165],"enable":[31],"privacy-preserving":[32,212],"analysis":[33],"of":[34,211],"distributed":[35,93,194],"images.":[37],"Using":[38],"an":[39],"enhanced":[40],"BING":[41],"objectness":[42],"descriptor,":[43],"the":[44,147,186,209],"dynamically":[46],"identifies":[47],"diagnostically":[48],"relevant":[49],"regions":[50],"while":[51,106,156],"applying":[52],"quantify":[57],"uncertainty":[58],"and":[59,137,179,188],"protect":[60],"sensitive":[61],"data.":[62],"architecture":[64],"implements":[65],"locality-preserved":[67],"active":[68],"strategy":[70],"through":[71,126],"parallelized":[72],"inference":[74,162],"units":[75],"on":[76],"FPGA":[77,171],"hardware,":[78],"enabling":[79],"real-time":[80,142],"processing":[81,175],"that":[82,216],"maintains":[83,149],"anatomical":[84],"relationships":[85],"during":[86],"adaptation.":[88],"approach":[90],"achieves":[91],"secure":[92],"computation":[94],"without":[95],"centralized":[96],"data":[97],"aggregation,":[98],"making":[99],"it":[100],"suitable":[101,176],"clinical":[103,153,222],"edge":[104],"devices":[105],"complying":[107],"privacy":[110,131],"regulations.":[111],"demonstrates":[114],"three":[115],"key":[116],"advantages":[117],"analysis:":[121],"robust":[122],"diagnostic":[123,180],"region":[124],"preservation":[125],"fuzzy-weighted":[127],"importance,":[129],"provable":[130],"guarantees":[132],"via":[133],"hesitation-based":[134],"measures,":[136],"efficient":[138],"hardware":[139],"acceleration":[140],"performance.":[143],"Experimental":[144],"results":[145],"show":[146],"high":[150],"accuracy":[151],"in":[152,193],"detection":[155],"significantly":[157],"reducing":[158],"vulnerability":[159],"membership":[161],"attacks":[163],"compared":[164],"conventional":[166],"approaches.":[169],"implementation":[172],"delivers":[173],"low-latency":[174],"educational":[178],"applications,":[181],"measured":[183],"performance":[184],"meeting":[185],"power":[187],"speed":[189],"requirements":[190],"deployment":[192],"healthcare":[195],"environments.":[196],"By":[197],"integrating":[198],"learning,":[205],"this":[206],"work":[207],"advances":[208],"development":[210],"imaging":[214],"systems":[215],"can":[217],"operate":[218],"effectively":[219],"across":[220],"decentralized":[221],"networks.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-06T06:03:25.996018","created_date":"2025-11-14T00:00:00"}
