{"id":"https://openalex.org/W4415970905","doi":"https://doi.org/10.1109/tkde.2025.3629816","title":"Multi-Party Federated Urban Flow Mining and Analysis Based on Lazy Aggregation","display_name":"Multi-Party Federated Urban Flow Mining and Analysis Based on Lazy Aggregation","publication_year":2025,"publication_date":"2025-11-06","ids":{"openalex":"https://openalex.org/W4415970905","doi":"https://doi.org/10.1109/tkde.2025.3629816"},"language":null,"primary_location":{"id":"doi:10.1109/tkde.2025.3629816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3629816","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Knowledge and Data Engineering","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/A5101351147","display_name":"Wenyu Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyu Fang","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-8847-3017","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035520853","display_name":"Wei Huang","orcid":"https://orcid.org/0000-0001-9031-107X"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Huang","raw_affiliation_strings":["College of Computer and Data Science, Engineering Research Center of Big Data Intelligence, Ministry of Education, Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9031-107X","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Engineering Research Center of Big Data Intelligence, Ministry of Education, Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317723","display_name":"Yanhua Liu","orcid":"https://orcid.org/0000-0002-6076-9968"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhua Liu","raw_affiliation_strings":["College of Computer and Data Science, Engineering Research Center of Big Data Intelligence, Ministry of Education, Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6076-9968","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Engineering Research Center of Big Data Intelligence, Ministry of Education, Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jia Liu","orcid":"https://orcid.org/0000-0002-7090-0325"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Liu","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-7090-0325","affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, Chengdu, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070559820","display_name":"Tianrui Li","orcid":"https://orcid.org/0000-0001-7780-104X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianrui Li","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7780-104X","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3102,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84950727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"38","issue":"1","first_page":"475","last_page":"488"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.6450999975204468,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.6450999975204468,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.09679999947547913,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.05550000071525574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5598999857902527},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5580999851226807},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4943000078201294},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42309999465942383},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.41769999265670776},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4108999967575073},{"id":"https://openalex.org/keywords/premise","display_name":"Premise","score":0.4106000065803528},{"id":"https://openalex.org/keywords/data-flow-diagram","display_name":"Data flow diagram","score":0.38499999046325684},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.3732999861240387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8468999862670898},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6902999877929688},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5598999857902527},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5580999851226807},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4943000078201294},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42309999465942383},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.41769999265670776},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4108999967575073},{"id":"https://openalex.org/C2778023277","wikidata":"https://www.wikidata.org/wiki/Q321703","display_name":"Premise","level":2,"score":0.4106000065803528},{"id":"https://openalex.org/C489000","wikidata":"https://www.wikidata.org/wiki/Q747385","display_name":"Data flow diagram","level":2,"score":0.38499999046325684},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.3732999861240387},{"id":"https://openalex.org/C2778459138","wikidata":"https://www.wikidata.org/wiki/Q7900107","display_name":"Urban computing","level":2,"score":0.3481000065803528},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3416999876499176},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.33180001378059387},{"id":"https://openalex.org/C2779136372","wikidata":"https://www.wikidata.org/wiki/Q10283002","display_name":"Information flow","level":2,"score":0.32440000772476196},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.31700000166893005},{"id":"https://openalex.org/C2778368647","wikidata":"https://www.wikidata.org/wiki/Q702492","display_name":"Urban area","level":2,"score":0.3125},{"id":"https://openalex.org/C2777103469","wikidata":"https://www.wikidata.org/wiki/Q1231558","display_name":"Smart city","level":3,"score":0.2904999852180481},{"id":"https://openalex.org/C88468194","wikidata":"https://www.wikidata.org/wiki/Q1172416","display_name":"Data-flow analysis","level":3,"score":0.28630000352859497},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2711000144481659},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2660999894142151},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.26030001044273376},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3629816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3629816","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3155662009","display_name":null,"funder_award_id":"2025ZNSFSC0481","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"},{"id":"https://openalex.org/G4115684213","display_name":null,"funder_award_id":"62176221","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5112547681","display_name":null,"funder_award_id":"62406070","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6542555069","display_name":null,"funder_award_id":"62402395","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8164524464","display_name":"\u5bf9\u6297\u8bad\u7ec3\u9a71\u52a8\u7684\u6076\u610f\u4ee3\u7801\u68c0\u6d4b\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"2021J01625","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G8811881147","display_name":null,"funder_award_id":"U2468207","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/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2295598076","https://openalex.org/W2761405195","https://openalex.org/W2939752039","https://openalex.org/W2963214893","https://openalex.org/W3014570036","https://openalex.org/W3080934299","https://openalex.org/W3123459983","https://openalex.org/W3183523595","https://openalex.org/W4206201438","https://openalex.org/W4206384029","https://openalex.org/W4309337296","https://openalex.org/W4311764549","https://openalex.org/W4312055772","https://openalex.org/W4316660993","https://openalex.org/W4318823481","https://openalex.org/W4320712824","https://openalex.org/W4353093955","https://openalex.org/W4367311040","https://openalex.org/W4367680914","https://openalex.org/W4377018457","https://openalex.org/W4377079835","https://openalex.org/W4378974730","https://openalex.org/W4381943457","https://openalex.org/W4382133464","https://openalex.org/W4382317695","https://openalex.org/W4382360135","https://openalex.org/W4386918856","https://openalex.org/W4388193892","https://openalex.org/W4388342053","https://openalex.org/W4388681972","https://openalex.org/W4388818404","https://openalex.org/W4388936714","https://openalex.org/W4391407099","https://openalex.org/W4392474111","https://openalex.org/W4393387678","https://openalex.org/W4399262458","https://openalex.org/W4399783833","https://openalex.org/W4399801293","https://openalex.org/W4401023877","https://openalex.org/W4402167563","https://openalex.org/W4403289364","https://openalex.org/W4408441345"],"related_works":[],"abstract_inverted_index":{"Multi-party":[0],"urban":[1,42,55,69,82,105,125,130,150,181,195],"flow":[2,43,56,70,83,106,126,131,151,182,196],"analysis":[3,13,78],"is":[4,49,86,113],"a":[5,75,103,155,176],"crucial":[6],"task":[7],"in":[8,17,53,67],"smart":[9],"cities.":[10],"However,":[11],"existing":[12],"methods":[14,207],"has":[15],"difficulty":[16],"trade-off":[18],"between":[19,168,194],"data":[20,44,47,61,91,127,139,183,212,217],"privacy":[21,48,62,92],"security":[22],"and":[23,63,93,128,170,213,226,228],"spatio-temporal":[24,38,64,76,95,120,231],"feature":[25,65,121],"capture.":[26],"The":[27],"solution":[28],"to":[29,34,59,88,115,142,218],"the":[30,36,99,135,144,148,165,171,192,201,220,223,230],"problem":[31],"of":[32,40,50,119,123,137,147,215,222],"how":[33],"capture":[35,66,94,118],"complete":[37,117],"features":[39,96],"multi-party":[41,54,68,81,104,124,149],"while":[45],"protecting":[46,138],"great":[51],"importance":[52],"analysis.":[57],"Therefore,":[58],"address":[60,143],"analysis,":[71,152],"this":[72],"paper":[73],"proposes":[74],"federated":[77,111],"model,":[79],"for":[80,180],"mining,":[84],"which":[85,163,188],"able":[87],"effectively":[89,190],"protect":[90],"completely":[97],"at":[98],"same":[100],"time.":[101],"Firstly,":[102],"mining":[107,129],"framework":[108],"based":[109,159,184],"on":[110,160,185,208],"learning":[112],"proposed":[114,202,224],"realize":[116],"information":[122],"pattern":[132],"knowledge":[133],"under":[134],"premise":[136],"privacy.":[140],"Secondly,":[141],"communication":[145,166],"cost":[146],"we":[153,174,199],"propose":[154,175],"lazy":[156],"aggregation":[157],"method":[158],"similarity":[161,177,193],"clustering,":[162],"improves":[164],"efficiency":[167],"clients":[169],"server.":[172],"Further,":[173],"evaluation":[178],"criteria":[179],"step":[186],"function,":[187],"can":[189],"calculate":[191],"data.":[197],"Finally,":[198],"compare":[200],"model":[203,225],"with":[204],"some":[205],"benchmark":[206],"Chengdu":[209],"Didi":[210],"order":[211],"point":[214],"interest":[216],"prove":[219],"effectiveness":[221],"visualize":[227],"analyze":[229],"features.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-11-06T00:00:00"}