{"id":"https://openalex.org/W7124970690","doi":"https://doi.org/10.1109/cloudcom67567.2025.11331397","title":"FedFM: A Federated Flow-Based Generative Model for Rainy Traffic Scenes","display_name":"FedFM: A Federated Flow-Based Generative Model for Rainy Traffic Scenes","publication_year":2025,"publication_date":"2025-11-14","ids":{"openalex":"https://openalex.org/W7124970690","doi":"https://doi.org/10.1109/cloudcom67567.2025.11331397"},"language":null,"primary_location":{"id":"doi:10.1109/cloudcom67567.2025.11331397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cloudcom67567.2025.11331397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 lEEE International Conference on Cloud Computing Technology and Science (CloudCom)","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/A5042275557","display_name":"Xinyuan Kang","orcid":"https://orcid.org/0000-0002-1285-5618"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinyuan Kang","raw_affiliation_strings":["College of Computer and Information Engineering, Tianjin Normal University,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Tianjin Normal University,Tianjin,China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123441130","display_name":"Ruojia Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruojia Zhang","raw_affiliation_strings":["College of Computer and Information Engineering, Tianjin Normal University,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Tianjin Normal University,Tianjin,China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123387255","display_name":"Jiapeng Gan","orcid":null},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiapeng Gan","raw_affiliation_strings":["College of Computer and Information Engineering, Tianjin Normal University,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Tianjin Normal University,Tianjin,China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103490267","display_name":"Xiaohan Du","orcid":null},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohan Du","raw_affiliation_strings":["College of Computer and Information Engineering, Tianjin Normal University,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Tianjin Normal University,Tianjin,China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083075738","display_name":"Guanyu Chen","orcid":"https://orcid.org/0000-0002-1070-0911"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanyu Chen","raw_affiliation_strings":["College of Computer and Information Engineering, Tianjin Normal University,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Tianjin Normal University,Tianjin,China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123412403","display_name":"Chenyang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Wang","raw_affiliation_strings":["College of Computer and Information Engineering, Tianjin Normal University,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Tianjin Normal University,Tianjin,China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123412905","display_name":"Jingjie Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjie Gao","raw_affiliation_strings":["College of Computer and Information Engineering, Tianjin Normal University,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Tianjin Normal University,Tianjin,China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070732947","display_name":"Weijia Feng","orcid":"https://orcid.org/0000-0003-2362-1304"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijia Feng","raw_affiliation_strings":["College of Computer and Information Engineering, Tianjin Normal University,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Tianjin Normal University,Tianjin,China","institution_ids":["https://openalex.org/I15062923"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5042275557"],"corresponding_institution_ids":["https://openalex.org/I15062923"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.70183906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.4392000138759613,"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/T11019","display_name":"Image Enhancement Techniques","score":0.4392000138759613,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.11209999769926071,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.053300000727176666,"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/scalability","display_name":"Scalability","score":0.7175999879837036},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5950000286102295},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5863000154495239},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.46880000829696655},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.42160001397132874},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.41769999265670776},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3846000134944916}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7950000166893005},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7175999879837036},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5950000286102295},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5863000154495239},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4697999954223633},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.46880000829696655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45080000162124634},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.448199987411499},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.42160001397132874},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.41769999265670776},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3846000134944916},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.3806999921798706},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37610000371932983},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3743000030517578},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32170000672340393},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.30160000920295715},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.2865000069141388},{"id":"https://openalex.org/C489000","wikidata":"https://www.wikidata.org/wiki/Q747385","display_name":"Data flow diagram","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2815000116825104},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cloudcom67567.2025.11331397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cloudcom67567.2025.11331397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 lEEE International Conference on Cloud Computing Technology and Science (CloudCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2943322963","https://openalex.org/W2963890275","https://openalex.org/W3096831136","https://openalex.org/W3108316907","https://openalex.org/W3209440272","https://openalex.org/W4309680642","https://openalex.org/W4382468166","https://openalex.org/W4390970466","https://openalex.org/W4401361665","https://openalex.org/W4402125726","https://openalex.org/W4404504626","https://openalex.org/W4405488026","https://openalex.org/W4406522105","https://openalex.org/W4411453446","https://openalex.org/W4412610068"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,84,89,105,130],"advancement":[2],"of":[3,70],"intelligent":[4],"driving":[5],"and":[6,11,41],"computer":[7],"vision":[8],"systems,":[9],"high-quality":[10,72],"diverse":[12],"rainy-day":[13,73],"images":[14,74],"are":[15,108],"crucial":[16],"for":[17,61,96,156],"training":[18,63,144],"robust":[19],"visual":[20],"systems.":[21],"However,":[22],"traditional":[23],"image":[24,147],"generation":[25],"models":[26],"rely":[27],"on":[28],"large-scale":[29],"centralized":[30],"datasets,":[31],"which":[32],"raises":[33],"serious":[34],"issues":[35],"such":[36],"as":[37],"data":[38,42],"privacy,":[39],"security,":[40],"silos":[43],"when":[44],"handling":[45],"geographically":[46],"distributed":[47,141,161],"data.":[48],"To":[49],"address":[50],"these":[51],"challenges,":[52],"this":[53],"paper":[54],"proposes":[55],"a":[56,64,112,119,153],"novel":[57],"federated":[58],"learning-based":[59],"framework":[60,82],"collaboratively":[62],"global":[65,121],"flow":[66,90],"matching":[67,91],"model":[68,92,106,122,143,150],"capable":[69],"generating":[71],"with":[75,129],"regional":[76,97],"characteristics":[77],"while":[78],"preserving":[79],"privacy.":[80],"The":[81],"utilizes":[83],"FedAvg":[85],"algorithm":[86],"to":[87,93,111],"distribute":[88],"local":[94],"servers":[95],"training,":[98,104],"capturing":[99],"unique":[100],"geographical":[101],"features.":[102],"After":[103],"parameters":[107],"securely":[109],"aggregated":[110],"central":[113],"server":[114],"under":[115],"encryption":[116],"protection,":[117],"forming":[118],"powerful":[120],"through":[123],"weighted":[124],"averaging.":[125],"Through":[126],"rigorous":[127],"comparisons":[128],"TPSeNCE":[131],"framework,":[132],"experimental":[133],"results":[134],"demonstrate":[135],"that":[136],"our":[137],"method":[138],"successfully":[139],"achieves":[140],"collaborative":[142],"without":[145],"sacrificing":[146],"quality":[148],"or":[149],"performance,":[151],"offering":[152],"new":[154],"approach":[155],"scalable":[157],"generative":[158],"modeling":[159],"in":[160],"environments.":[162]},"counts_by_year":[],"updated_date":"2026-01-22T23:29:09.771500","created_date":"2026-01-21T00:00:00"}
