{"id":"https://openalex.org/W4379034050","doi":"https://doi.org/10.1109/tcsvt.2023.3281983","title":"Spatial\u2013Temporal Federated Learning for Lifelong Person Re-Identification on Distributed Edges","display_name":"Spatial\u2013Temporal Federated Learning for Lifelong Person Re-Identification on Distributed Edges","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4379034050","doi":"https://doi.org/10.1109/tcsvt.2023.3281983"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3281983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3281983","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Circuits and Systems for Video Technology","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/A5102002234","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-8804-5187"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-8804-5187","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024496324","display_name":"Guanyu Gao","orcid":"https://orcid.org/0000-0001-8584-0532"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanyu Gao","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8584-0532","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019572221","display_name":"Huaizheng Zhang","orcid":"https://orcid.org/0000-0002-0153-6400"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Huaizheng Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore","School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.9119,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.98465124,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"35","issue":"2","first_page":"1884","last_page":"1896"},"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":0.9876999855041504,"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":0.9876999855041504,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9868000149726868,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9674000144004822,"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/computer-science","display_name":"Computer science","score":0.8465486168861389},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.7573862671852112},{"id":"https://openalex.org/keywords/lifelong-learning","display_name":"Lifelong learning","score":0.7259050607681274},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5949656963348389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.518930196762085},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.4772900640964508},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4716452956199646},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4612741470336914},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.4571495056152344},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45162904262542725},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44877421855926514},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43404707312583923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8465486168861389},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.7573862671852112},{"id":"https://openalex.org/C108771440","wikidata":"https://www.wikidata.org/wiki/Q368475","display_name":"Lifelong learning","level":2,"score":0.7259050607681274},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5949656963348389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.518930196762085},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.4772900640964508},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4716452956199646},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4612741470336914},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.4571495056152344},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45162904262542725},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44877421855926514},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43404707312583923},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2023.3281983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3281983","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6294735699","display_name":null,"funder_award_id":"BK20200486","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G6511145111","display_name":null,"funder_award_id":"No. 61972086","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G711327396","display_name":"\u4e0d\u5b8c\u5168\u4fe1\u606f\u73af\u5883\u4e0b\u7684\u4f17\u5305\u8d28\u91cf\u4f18\u5316\u673a\u5236\u7814\u7a76","funder_award_id":"61972086","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/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2204750386","https://openalex.org/W2473930607","https://openalex.org/W2519338267","https://openalex.org/W2535838896","https://openalex.org/W2560647685","https://openalex.org/W2808541648","https://openalex.org/W2912191162","https://openalex.org/W2912406707","https://openalex.org/W2962858109","https://openalex.org/W2963047834","https://openalex.org/W2963588172","https://openalex.org/W2964189064","https://openalex.org/W2967515867","https://openalex.org/W3033112120","https://openalex.org/W3035556764","https://openalex.org/W3080411117","https://openalex.org/W3120486244","https://openalex.org/W3138516171","https://openalex.org/W3168126494","https://openalex.org/W3173777106","https://openalex.org/W3174581090","https://openalex.org/W3175474559","https://openalex.org/W3180614977","https://openalex.org/W3189500528","https://openalex.org/W3206194624","https://openalex.org/W3210967702","https://openalex.org/W3214294103","https://openalex.org/W3214692680","https://openalex.org/W3215019056","https://openalex.org/W4225130530","https://openalex.org/W4283804551","https://openalex.org/W4312699393","https://openalex.org/W4312769405","https://openalex.org/W6748323323","https://openalex.org/W6759238902","https://openalex.org/W6769871928","https://openalex.org/W6784864947","https://openalex.org/W6790135808","https://openalex.org/W6796711976","https://openalex.org/W6803910754","https://openalex.org/W6810855780","https://openalex.org/W6866588267"],"related_works":["https://openalex.org/W4313339048","https://openalex.org/W4386004629","https://openalex.org/W3176734149","https://openalex.org/W3201779876","https://openalex.org/W3113627641","https://openalex.org/W2918879532","https://openalex.org/W3083220997","https://openalex.org/W2885461866","https://openalex.org/W4320067866","https://openalex.org/W3162654428"],"abstract_inverted_index":{"Data":[0],"drift":[1],"is":[2,19],"a":[3,37,153,160],"thorny":[4],"challenge":[5],"when":[6],"deploying":[7],"person":[8],"re-identification":[9],"(ReID)":[10],"models":[11,56],"into":[12],"real-world":[13,164],"devices,":[14],"where":[15,111],"the":[16,25,73,81,98,112,129,145],"data":[17,91],"distribution":[18],"significantly":[20],"different":[21,77],"from":[22,76,101,120],"that":[23,167],"of":[24,89,148,162],"training":[26],"environment":[27],"and":[28,50,117,122],"keeps":[29],"changing.":[30],"To":[31],"tackle":[32],"this":[33],"issue,":[34],"we":[35],"propose":[36],"federated":[38,51],"spatial-temporal":[39,70,132],"incremental":[40],"learning":[41,49,52,155],"approach,":[42],"named":[43],"FedSTIL,":[44],"which":[45],"leverages":[46],"both":[47],"lifelong":[48,154],"to":[53,68,92,138,142],"continuously":[54],"optimize":[55,93],"deployed":[57],"on":[58,159,190],"many":[59],"distributed":[60],"edge":[61,78,82,102,140,150],"clients.":[62,79],"Unlike":[63],"previous":[64],"efforts,":[65],"FedSTIL":[66],"aims":[67],"mine":[69],"correlations":[71],"among":[72],"knowledge":[74,100,113,133],"learnt":[75,99],"Specifically,":[80],"clients":[83,103,141],"first":[84],"periodically":[85],"extract":[86],"general":[87],"representations":[88],"drifted":[90],"their":[94],"local":[95],"models.":[96],"Then,":[97],"will":[104,114,134],"be":[105,115,135],"aggregated":[106],"by":[107,172,182],"centralized":[108],"parameter":[109],"server,":[110],"selectively":[116],"attentively":[118],"distilled":[119,130],"spatial-":[121],"temporal-dimension":[123],"with":[124,152],"carefully":[125],"designed":[126],"mechanisms.":[127],"Finally,":[128],"informative":[131],"sent":[136],"back":[137],"correlated":[139],"further":[143],"improve":[144],"recognition":[146],"accuracy":[147],"each":[149],"client":[151],"method.":[156],"Extensive":[157],"experiments":[158],"mixture":[161],"five":[163],"datasets":[165],"demonstrate":[166],"our":[168],"method":[169],"outperforms":[170],"others":[171],"nearly":[173],"4%":[174],"in":[175],"Rank-1":[176],"accuracy,":[177],"while":[178],"reducing":[179],"communication":[180],"cost":[181],"62%.":[183],"All":[184],"implementation":[185],"codes":[186],"are":[187],"publicly":[188],"available":[189],"https://github.com/MSNLAB/Federated-Lifelong-Person-ReID.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}