{"id":"https://openalex.org/W7137987851","doi":"https://doi.org/10.1609/aaai.v40i2.37083","title":"Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-temporal Graph Learning Method for Traffic Flow Forecasting","display_name":"Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-temporal Graph Learning Method for Traffic Flow Forecasting","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7137987851","doi":"https://doi.org/10.1609/aaai.v40i2.37083"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i2.37083","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i2.37083","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i2.37083","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129660510","display_name":"Feng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165198","display_name":"Beijing Advanced Sciences and Innovation Center","ror":"https://ror.org/05qm21180","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wang","raw_affiliation_strings":["Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing\nSchool of Artificial Intelligence, Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing\nSchool of Artificial Intelligence, Beihang University, China","institution_ids":["https://openalex.org/I4210165198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101579765","display_name":"Tianxiang Chen","orcid":"https://orcid.org/0000-0002-7492-1377"},"institutions":[{"id":"https://openalex.org/I4210165198","display_name":"Beijing Advanced Sciences and Innovation Center","ror":"https://ror.org/05qm21180","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianxiang Chen","raw_affiliation_strings":["Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing\nSchool of Artificial Intelligence, Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing\nSchool of Artificial Intelligence, Beihang University, China","institution_ids":["https://openalex.org/I4210165198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129728302","display_name":"Shuyue Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165198","display_name":"Beijing Advanced Sciences and Innovation Center","ror":"https://ror.org/05qm21180","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyue Wei","raw_affiliation_strings":["Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing\nSchool of Computer Science and Engineering, Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing\nSchool of Computer Science and Engineering, Beihang University, China","institution_ids":["https://openalex.org/I4210165198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047200733","display_name":"Qian Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165198","display_name":"Beijing Advanced Sciences and Innovation Center","ror":"https://ror.org/05qm21180","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Chu","raw_affiliation_strings":["Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing\nSchool of Artificial Intelligence, Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing\nSchool of Artificial Intelligence, Beihang University, China","institution_ids":["https://openalex.org/I4210165198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129751847","display_name":"Yi Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["School of Mathematics, Renmin University of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Renmin University of China, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129722677","display_name":"Yifan Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Sun","raw_affiliation_strings":["Center for Applied Statistics and School of Statistics, Renmin University of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Applied Statistics and School of Statistics, Renmin University of China, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129733744","display_name":"Zhiming Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165198","display_name":"Beijing Advanced Sciences and Innovation Center","ror":"https://ror.org/05qm21180","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiming Zheng","raw_affiliation_strings":["Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing\nSchool of Artificial Intelligence, Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing\nSchool of Artificial Intelligence, Beihang University, China","institution_ids":["https://openalex.org/I4210165198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23520924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"2","first_page":"1123","last_page":"1131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.30469998717308044,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.30469998717308044,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.1517000049352646,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.1039000004529953,"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/robustness","display_name":"Robustness (evolution)","score":0.5863000154495239},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5248000025749207},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5184999704360962},{"id":"https://openalex.org/keywords/parallelizable-manifold","display_name":"Parallelizable manifold","score":0.4952999949455261},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.475600004196167},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4146000146865845},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.36970001459121704},{"id":"https://openalex.org/keywords/wait-for-graph","display_name":"Wait-for graph","score":0.3571000099182129},{"id":"https://openalex.org/keywords/dynamic-data","display_name":"Dynamic data","score":0.3377000093460083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7900000214576721},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5863000154495239},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5248000025749207},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5184999704360962},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5020999908447266},{"id":"https://openalex.org/C148047603","wikidata":"https://www.wikidata.org/wiki/Q1014612","display_name":"Parallelizable manifold","level":2,"score":0.4952999949455261},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4830000102519989},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.475600004196167},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46149998903274536},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4146000146865845},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.36970001459121704},{"id":"https://openalex.org/C106891557","wikidata":"https://www.wikidata.org/wiki/Q4148051","display_name":"Wait-for graph","level":4,"score":0.3571000099182129},{"id":"https://openalex.org/C197298091","wikidata":"https://www.wikidata.org/wiki/Q5318963","display_name":"Dynamic data","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.336899995803833},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.314300000667572},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C2777032711","wikidata":"https://www.wikidata.org/wiki/Q5318993","display_name":"Dynamic mode decomposition","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.2935999929904938},{"id":"https://openalex.org/C203689450","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial database","level":3,"score":0.2904999852180481},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.28929999470710754},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.27309998869895935},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.27160000801086426},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26440000534057617},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.2556000053882599}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i2.37083","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i2.37083","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i2.37083","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i2.37083","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","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":{"Spatio-temporal":[0],"graphs":[1],"are":[2,114],"powerful":[3],"tools":[4],"for":[5],"modeling":[6,28],"complex":[7,91],"dependencies":[8,33,77],"in":[9,27,52,78,149,169,185],"traffic":[10,19],"time":[11],"series.":[12],"However,":[13],"the":[14,110,164,179],"distributed":[15],"nature":[16,49],"of":[17,151,158,166,181],"real-world":[18,138],"data":[20,37],"across":[21],"multiple":[22],"stakeholders":[23],"poses":[24],"significant":[25],"challenges":[26],"and":[29,50,72,154],"reconstructing":[30],"inter-client":[31,75,125,172],"spatial":[32,76,126,173],"while":[34,175],"adhering":[35],"to":[36,70,89,183],"locality":[38],"constraints.":[39],"Existing":[40],"methods":[41],"primarily":[42],"address":[43],"static":[44],"dependencies,":[45,174],"overlooking":[46],"their":[47],"dynamic":[48,74,124,171],"resulting":[51],"suboptimal":[53],"performance.":[54],"In":[55],"response,":[56],"we":[57],"propose":[58],"Federated":[59],"Spatio-Temporal":[60],"Graph":[61],"with":[62],"Dynamic":[63],"Inter-Client":[64],"Dependencies":[65],"(FedSTGD),":[66],"a":[67,83,98,117],"framework":[68],"designed":[69],"model":[71],"reconstruct":[73],"federated":[79,84],"learning.":[80],"FedSTGD":[81,142,182],"incorporates":[82],"nonlinear":[85],"computation":[86],"decomposition":[87],"module":[88,168],"approximate":[90],"graph":[92,99],"operations.":[93],"This":[94],"is":[95],"complemented":[96],"by":[97],"node":[100],"embedding":[101],"augmentation":[102],"module,":[103],"which":[104,122],"alleviates":[105],"performance":[106,145],"degradation":[107],"arising":[108],"from":[109],"decomposition.":[111],"These":[112],"modules":[113],"coordinated":[115],"through":[116],"client-server":[118],"collective":[119],"learning":[120,128],"protocol,":[121],"decomposes":[123],"dependency":[127],"tasks":[129],"into":[130],"lightweight,":[131],"parallelizable":[132],"subtasks.":[133],"Extensive":[134],"experiments":[135],"on":[136],"four":[137],"datasets":[139],"demonstrate":[140],"that":[141,157],"achieves":[143],"superior":[144],"over":[146],"state-of-the-art":[147],"baselines":[148],"terms":[150],"RMSE,":[152],"MAE,":[153],"MAPE,":[155],"approaching":[156],"centralized":[159],"baselines.":[160],"Ablation":[161],"studies":[162],"confirm":[163],"contribution":[165],"each":[167],"addressing":[170],"sensitivity":[176],"analysis":[177],"highlights":[178],"robustness":[180],"variations":[184],"hyperparameters.":[186]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-03-18T00:00:00"}
