{"id":"https://openalex.org/W4415986163","doi":"https://doi.org/10.32604/cmc.2025.069789","title":"Federated Dynamic Aggregation Selection Strategy-Based Multi-Receptive Field Fusion Classification Framework for Point Cloud Classification","display_name":"Federated Dynamic Aggregation Selection Strategy-Based Multi-Receptive Field Fusion Classification Framework for Point Cloud Classification","publication_year":2025,"publication_date":"2025-11-07","ids":{"openalex":"https://openalex.org/W4415986163","doi":"https://doi.org/10.32604/cmc.2025.069789"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.069789","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.069789","pdf_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-86-2/TSP_CMC_69789/TSP_CMC_69789.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-86-2/TSP_CMC_69789/TSP_CMC_69789.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016899520","display_name":"Yuchao Hou","orcid":"https://orcid.org/0000-0002-4810-6256"},"institutions":[{"id":"https://openalex.org/I174104030","display_name":"Taiyuan Normal University","ror":"https://ror.org/051k00p03","country_code":"CN","type":"education","lineage":["https://openalex.org/I174104030"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchao Hou","raw_affiliation_strings":["Shanxi Key Laboratory of Cryptography and Data Security, Shanxi Normal University, Taiyuan, 030031, China 2 State Key Laboratory of Public Big Data, Guizhou University, Guizhou, 550025, China 3 College of Computer Science and Artificial Intelligence, Shanxi Normal University, Taiyuan, 030031, China 4 College of Artificial Intelligence, Dalian Maritime University, Dalian, 116026, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanxi Key Laboratory of Cryptography and Data Security, Shanxi Normal University, Taiyuan, 030031, China 2 State Key Laboratory of Public Big Data, Guizhou University, Guizhou, 550025, China 3 College of Computer Science and Artificial Intelligence, Shanxi Normal University, Taiyuan, 030031, China 4 College of Artificial Intelligence, Dalian Maritime University, Dalian, 116026, China","institution_ids":["https://openalex.org/I174104030"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101394215","display_name":"Bingqian Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I174104030","display_name":"Taiyuan Normal University","ror":"https://ror.org/051k00p03","country_code":"CN","type":"education","lineage":["https://openalex.org/I174104030"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biaobiao Bai","raw_affiliation_strings":["Shanxi Key Laboratory of Cryptography and Data Security, Shanxi Normal University, Taiyuan, 030031, China 2 State Key Laboratory of Public Big Data, Guizhou University, Guizhou, 550025, China 3 College of Computer Science and Artificial Intelligence, Shanxi Normal University, Taiyuan, 030031, China 4 College of Artificial Intelligence, Dalian Maritime University, Dalian, 116026, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanxi Key Laboratory of Cryptography and Data Security, Shanxi Normal University, Taiyuan, 030031, China 2 State Key Laboratory of Public Big Data, Guizhou University, Guizhou, 550025, China 3 College of Computer Science and Artificial Intelligence, Shanxi Normal University, Taiyuan, 030031, China 4 College of Artificial Intelligence, Dalian Maritime University, Dalian, 116026, China","institution_ids":["https://openalex.org/I174104030"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058819293","display_name":"Shuai Zhao","orcid":"https://orcid.org/0000-0002-4766-3886"},"institutions":[{"id":"https://openalex.org/I174104030","display_name":"Taiyuan Normal University","ror":"https://ror.org/051k00p03","country_code":"CN","type":"education","lineage":["https://openalex.org/I174104030"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Zhao","raw_affiliation_strings":["Shanxi Key Laboratory of Cryptography and Data Security, Shanxi Normal University, Taiyuan, 030031, China 2 State Key Laboratory of Public Big Data, Guizhou University, Guizhou, 550025, China 3 College of Computer Science and Artificial Intelligence, Shanxi Normal University, Taiyuan, 030031, China 4 College of Artificial Intelligence, Dalian Maritime University, Dalian, 116026, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanxi Key Laboratory of Cryptography and Data Security, Shanxi Normal University, Taiyuan, 030031, China 2 State Key Laboratory of Public Big Data, Guizhou University, Guizhou, 550025, China 3 College of Computer Science and Artificial Intelligence, Shanxi Normal University, Taiyuan, 030031, China 4 College of Artificial Intelligence, Dalian Maritime University, Dalian, 116026, China","institution_ids":["https://openalex.org/I174104030"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372002","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0002-1788-1102"},"institutions":[{"id":"https://openalex.org/I174104030","display_name":"Taiyuan Normal University","ror":"https://ror.org/051k00p03","country_code":"CN","type":"education","lineage":["https://openalex.org/I174104030"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["Shanxi Key Laboratory of Cryptography and Data Security, Shanxi Normal University, Taiyuan, 030031, China 2 State Key Laboratory of Public Big Data, Guizhou University, Guizhou, 550025, China 3 College of Computer Science and Artificial Intelligence, Shanxi Normal University, Taiyuan, 030031, China 4 College of Artificial Intelligence, Dalian Maritime University, Dalian, 116026, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanxi Key Laboratory of Cryptography and Data Security, Shanxi Normal University, Taiyuan, 030031, China 2 State Key Laboratory of Public Big Data, Guizhou University, Guizhou, 550025, China 3 College of Computer Science and Artificial Intelligence, Shanxi Normal University, Taiyuan, 030031, China 4 College of Artificial Intelligence, Dalian Maritime University, Dalian, 116026, China","institution_ids":["https://openalex.org/I174104030"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440013","display_name":"Jie Wang","orcid":"https://orcid.org/0000-0001-7870-0646"},"institutions":[{"id":"https://openalex.org/I174104030","display_name":"Taiyuan Normal University","ror":"https://ror.org/051k00p03","country_code":"CN","type":"education","lineage":["https://openalex.org/I174104030"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["Shanxi Key Laboratory of Cryptography and Data Security, Shanxi Normal University, Taiyuan, 030031, China 2 State Key Laboratory of Public Big Data, Guizhou University, Guizhou, 550025, China 3 College of Computer Science and Artificial Intelligence, Shanxi Normal University, Taiyuan, 030031, China 4 College of Artificial Intelligence, Dalian Maritime University, Dalian, 116026, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanxi Key Laboratory of Cryptography and Data Security, Shanxi Normal University, Taiyuan, 030031, China 2 State Key Laboratory of Public Big Data, Guizhou University, Guizhou, 550025, China 3 College of Computer Science and Artificial Intelligence, Shanxi Normal University, Taiyuan, 030031, China 4 College of Artificial Intelligence, Dalian Maritime University, Dalian, 116026, China","institution_ids":["https://openalex.org/I174104030"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100406497","display_name":"Zijian Li","orcid":"https://orcid.org/0000-0002-3964-3789"},"institutions":[{"id":"https://openalex.org/I174104030","display_name":"Taiyuan Normal University","ror":"https://ror.org/051k00p03","country_code":"CN","type":"education","lineage":["https://openalex.org/I174104030"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijian Li","raw_affiliation_strings":["Shanxi Key Laboratory of Cryptography and Data Security, Shanxi Normal University, Taiyuan, 030031, China 2 State Key Laboratory of Public Big Data, Guizhou University, Guizhou, 550025, China 3 College of Computer Science and Artificial Intelligence, Shanxi Normal University, Taiyuan, 030031, China 4 College of Artificial Intelligence, Dalian Maritime University, Dalian, 116026, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanxi Key Laboratory of Cryptography and Data Security, Shanxi Normal University, Taiyuan, 030031, China 2 State Key Laboratory of Public Big Data, Guizhou University, Guizhou, 550025, China 3 College of Computer Science and Artificial Intelligence, Shanxi Normal University, Taiyuan, 030031, China 4 College of Artificial Intelligence, Dalian Maritime University, Dalian, 116026, China","institution_ids":["https://openalex.org/I174104030"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I174104030"],"apc_list":null,"apc_paid":null,"fwci":0.8209,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74472746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"86","issue":"2","first_page":"1","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.23090000450611115,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.23090000450611115,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.06560000032186508,"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":0.03669999912381172,"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/cloud-computing","display_name":"Cloud computing","score":0.6712999939918518},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5788999795913696},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.567799985408783},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5133000016212463},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.47540000081062317},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4733000099658966},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.36010000109672546},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.3301999866962433}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7886999845504761},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6712999939918518},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6146000027656555},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5788999795913696},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.567799985408783},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5133000016212463},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.47540000081062317},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4733000099658966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40459999442100525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4043999910354614},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.39239999651908875},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.36010000109672546},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.3301999866962433},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.32760000228881836},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3255000114440918},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.31630000472068787},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3122999966144562},{"id":"https://openalex.org/C197298091","wikidata":"https://www.wikidata.org/wiki/Q5318963","display_name":"Dynamic data","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.3034999966621399},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.287200003862381},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.069789","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.069789","pdf_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-86-2/TSP_CMC_69789/TSP_CMC_69789.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.069789","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.069789","pdf_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-86-2/TSP_CMC_69789/TSP_CMC_69789.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1876208784","display_name":null,"funder_award_id":"202303021212164","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2435326154","display_name":null,"funder_award_id":"2021YFB3101100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5434891873","display_name":null,"funder_award_id":"42461057","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6370003980","display_name":null,"funder_award_id":"42371470","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G645651932","display_name":null,"funder_award_id":"2021YFB3101100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G968270831","display_name":null,"funder_award_id":"62272123","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415986163.pdf","grobid_xml":"https://content.openalex.org/works/W4415986163.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"large-scale":[1],"deep":[2],"learning":[3,31],"models":[4,174],"have":[5],"been":[6],"increasingly":[7],"adopted":[8],"for":[9,43,79],"point":[10,80,127,141,209],"cloud":[11,81,128,142,210],"classification.":[12,143],"However,":[13,54],"these":[14,72,98],"methods":[15],"typically":[16],"require":[17],"collecting":[18],"extensive":[19],"datasets":[20],"from":[21],"multiple":[22],"clients,":[23,177],"which":[24,120,159],"may":[25],"lead":[26],"to":[27,36,67,164,175,203],"privacy":[28],"leaks.":[29],"Federated":[30,84,153],"provides":[32],"an":[33],"effective":[34],"solution":[35],"data":[37,44,60,129],"leakage":[38],"by":[39],"eliminating":[40],"the":[41,49,55,64,106,138,146,190,206],"need":[42],"transmission,":[45],"relying":[46],"instead":[47],"on":[48],"exchange":[50],"of":[51,58,140,208],"model":[52,167],"parameters.":[53],"uneven":[56],"distribution":[57],"client":[59,107,166],"can":[61],"still":[62],"affect":[63],"model\u2019s":[65],"ability":[66],"generalize":[68],"effectively.":[69],"To":[70],"address":[71],"challenges,":[73],"we":[74,96,111,150],"propose":[75,112],"a":[76,113,152,161,213],"new":[77],"framework":[78,188],"classification":[82,211],"called":[83],"Dynamic":[85,154],"Aggregation":[86,155],"Selection":[87,156],"Strategy-based":[88],"Multi-Receptive":[89,114],"Field":[90,115],"Fusion":[91,116],"Classification":[92,117],"Framework":[93],"(FDASS-MRFCF).":[94],"Specifically,":[95],"tackle":[97],"challenges":[99],"with":[100],"two":[101],"key":[102],"innovations:":[103],"(1)":[104],"During":[105],"local":[108,122,173,183],"training":[109],"phase,":[110,149],"Model":[118],"(MRFCM),":[119],"captures":[121],"and":[123,133,182,192],"global":[124,180],"structures":[125],"in":[126,212],"through":[130],"dynamic":[131],"convolution":[132],"multi-scale":[134],"feature":[135],"fusion,":[136],"enhancing":[137],"robustness":[139],"(2)":[144],"In":[145],"server":[147],"aggregation":[148],"introduce":[151],"Strategy":[157],"(FDASS),":[158],"employs":[160],"hybrid":[162],"strategy":[163],"average":[165],"parameters,":[168],"skip":[169],"aggregation,":[170],"or":[171],"reallocate":[172],"different":[176],"thereby":[178],"balancing":[179],"consistency":[181],"diversity.":[184],"We":[185],"evaluate":[186],"our":[187],"using":[189],"ModelNet40":[191],"ShapeNetPart":[193],"benchmarks,":[194],"demonstrating":[195],"its":[196],"effectiveness.":[197],"The":[198],"proposed":[199],"method":[200],"is":[201],"expected":[202],"significantly":[204],"advance":[205],"field":[207],"secure":[214],"environment.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-25T06:16:34.145877","created_date":"2025-11-07T00:00:00"}