{"id":"https://openalex.org/W4405968064","doi":"https://doi.org/10.1109/tnnls.2024.3517658","title":"Federated Learning Based on Model Discrepancy and Variance Reduction","display_name":"Federated Learning Based on Model Discrepancy and Variance Reduction","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4405968064","doi":"https://doi.org/10.1109/tnnls.2024.3517658","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030762"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3517658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3517658","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100396885","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0002-2928-2692"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675587","display_name":"Chenglin Li","orcid":"https://orcid.org/0000-0003-2888-594X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglin Li","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2888-594X","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045342512","display_name":"Wenrui Dai","orcid":"https://orcid.org/0000-0003-2522-5778"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenrui Dai","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2522-5778","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016006337","display_name":"Junni Zou","orcid":"https://orcid.org/0000-0002-9694-9880"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junni Zou","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9694-9880","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002494284","display_name":"Hongkai Xiong","orcid":"https://orcid.org/0000-0003-4552-0029"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongkai Xiong","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4552-0029","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":11.168,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.97978115,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"36","issue":"6","first_page":"10407","last_page":"10421"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.998199999332428,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9865999817848206,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9690999984741211,"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/variance-reduction","display_name":"Variance reduction","score":0.8106520175933838},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8047467470169067},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.7475806474685669},{"id":"https://openalex.org/keywords/control-variates","display_name":"Control variates","score":0.7215719223022461},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.7073215842247009},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6309138536453247},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6079923510551453},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5632318258285522},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.553985595703125},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5356046557426453},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.48502200841903687},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4545901417732239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27016833424568176},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1360841691493988},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11098942160606384}],"concepts":[{"id":"https://openalex.org/C62644790","wikidata":"https://www.wikidata.org/wiki/Q3454689","display_name":"Variance reduction","level":3,"score":0.8106520175933838},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8047467470169067},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.7475806474685669},{"id":"https://openalex.org/C121683094","wikidata":"https://www.wikidata.org/wiki/Q3554721","display_name":"Control variates","level":5,"score":0.7215719223022461},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.7073215842247009},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6309138536453247},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6079923510551453},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5632318258285522},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.553985595703125},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5356046557426453},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.48502200841903687},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4545901417732239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27016833424568176},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1360841691493988},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11098942160606384},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C13153151","wikidata":"https://www.wikidata.org/wiki/Q1639846","display_name":"Hybrid Monte Carlo","level":4,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3517658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3517658","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40030762","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030762","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G1080903817","display_name":null,"funder_award_id":"62320106003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1336459536","display_name":null,"funder_award_id":"24BC3200800","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"},{"id":"https://openalex.org/G2048617456","display_name":null,"funder_award_id":"62301299","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2895017225","display_name":null,"funder_award_id":"U24A20251","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3438946646","display_name":null,"funder_award_id":"61932022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G376436071","display_name":null,"funder_award_id":"62401357","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4936292138","display_name":null,"funder_award_id":"T2122024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6094063813","display_name":null,"funder_award_id":"62125109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6263369104","display_name":null,"funder_award_id":"62431017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6308568386","display_name":null,"funder_award_id":"62401366","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7123918047","display_name":null,"funder_award_id":"62120106007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7931220373","display_name":null,"funder_award_id":"62371288","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8700549466","display_name":null,"funder_award_id":"61931023","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/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W2120350480","https://openalex.org/W2530417694","https://openalex.org/W2734358244","https://openalex.org/W2900182564","https://openalex.org/W2912213068","https://openalex.org/W2963372166","https://openalex.org/W2963470657","https://openalex.org/W2972570881","https://openalex.org/W2989289980","https://openalex.org/W2995022099","https://openalex.org/W3021654819","https://openalex.org/W3111009493","https://openalex.org/W4206878041","https://openalex.org/W4225014117","https://openalex.org/W4283796083","https://openalex.org/W4307777871","https://openalex.org/W4312680444","https://openalex.org/W4312869277","https://openalex.org/W4313644291","https://openalex.org/W4379805355","https://openalex.org/W4386065428","https://openalex.org/W4387303319","https://openalex.org/W6676105031","https://openalex.org/W6680196509","https://openalex.org/W6726983090","https://openalex.org/W6728757088","https://openalex.org/W6745964145","https://openalex.org/W6752191696","https://openalex.org/W6752600739","https://openalex.org/W6754143808","https://openalex.org/W6756756286","https://openalex.org/W6757358033","https://openalex.org/W6759238902","https://openalex.org/W6759737255","https://openalex.org/W6762879059","https://openalex.org/W6762930437","https://openalex.org/W6763780468","https://openalex.org/W6765541894","https://openalex.org/W6772197471","https://openalex.org/W6773520829","https://openalex.org/W6773817997","https://openalex.org/W6773976177","https://openalex.org/W6775774844","https://openalex.org/W6776730200","https://openalex.org/W6781199479","https://openalex.org/W6781318954","https://openalex.org/W6787972765","https://openalex.org/W6790034021","https://openalex.org/W6790212648","https://openalex.org/W6795843344","https://openalex.org/W6796484261","https://openalex.org/W6798417033","https://openalex.org/W6839298871","https://openalex.org/W6841383738","https://openalex.org/W6981657223"],"related_works":["https://openalex.org/W3121013341","https://openalex.org/W4287392940","https://openalex.org/W2808706851","https://openalex.org/W1988863536","https://openalex.org/W65440759","https://openalex.org/W2905302290","https://openalex.org/W4289121744","https://openalex.org/W4232943939","https://openalex.org/W4233299515","https://openalex.org/W2951226321"],"abstract_inverted_index":{"In":[0,37,60,100],"federated":[1],"learning":[2],"(FL),":[3],"the":[4,18,35,42,82,90,105,117,123,134,141,147,152,161,170,177,201,205,227],"heterogeneity":[5,96],"of":[6,11,44,66,140,165,172,207],"data":[7,95],"and":[8,30,69,97,174,196],"asynchronous":[9],"participation":[10],"clients":[12,125],"have":[13],"been":[14],"observed":[15],"to":[16,27,56,88,102,121,126,211,222],"induce":[17],"local":[19,71,109,130],"client's":[20],"model":[21,72,106],"discrepancy":[22,107],"with":[23],"high":[24],"variance,":[25],"leading":[26],"a":[28,51,85,213,223],"slow":[29],"unstable":[31],"convergence":[32,171,202],"globally":[33],"at":[34,81,150],"server.":[36],"this":[38,58],"article,":[39],"motivated":[40],"by":[41,94,203],"usefulness":[43],"stale":[45,70],"client":[46,91,98,153],"updates,":[47],"we":[48,62,111,189],"first":[49],"propose":[50,113],"general":[52,178],"framework,":[53],"named":[54],"FedVR,":[55,61],"address":[57],"issue.":[59],"design":[63],"an":[64],"aggregate":[65],"both":[67],"fresh":[68],"updates":[73],"without":[74],"additional":[75],"communication":[76,208],"overhead,":[77],"which":[78,115],"is":[79,155],"computed":[80],"server":[83],"as":[84,158],"control":[86,119],"variate":[87,120],"reduce":[89,104],"variance":[92,154,162],"incurred":[93],"sampling.":[99],"order":[101],"further":[103],"between":[108],"clients,":[110],"therefore":[112],"FedMDVR,":[114],"broadcasts":[116],"designed":[118],"all":[122],"active":[124],"help":[127],"correct":[128],"their":[129],"update":[131,149],"directions":[132],"toward":[133],"global":[135,142,148],"optimum,":[136],"i.e.,":[137],"stationary":[138],"point":[139],"objective":[143],"function.":[144],"While":[145],"in":[146,176],"server,":[151],"also":[156,190],"decreased":[157],"inherited":[159],"from":[160],"reduction":[163],"nature":[164],"FedVR.":[166],"We":[167],"theoretically":[168],"prove":[169],"FedVR":[173,195],"FedMDVR":[175,197],"nonconvex":[179],"settings.":[180],"Through":[181],"extensive":[182],"experimental":[183],"evaluations":[184],"on":[185],"several":[186],"benchmark":[187],"datasets,":[188],"demonstrate":[191],"that":[192],"our":[193],"proposed":[194],"not":[198],"only":[199],"accelerate":[200],"reducing":[204],"number":[206],"rounds":[209],"required":[210],"achieve":[212],"certain":[214],"target":[215],"accuracy,":[216],"but":[217],"more":[218],"importantly,":[219],"can":[220],"converge":[221],"higher":[224],"accuracy":[225],"than":[226],"baseline":[228],"algorithms.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}