{"id":"https://openalex.org/W4411209184","doi":"https://doi.org/10.1007/s10994-025-06795-0","title":"Fedflow: a personalized federated learning framework for passenger flow prediction","display_name":"Fedflow: a personalized federated learning framework for passenger flow prediction","publication_year":2025,"publication_date":"2025-06-11","ids":{"openalex":"https://openalex.org/W4411209184","doi":"https://doi.org/10.1007/s10994-025-06795-0"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-025-06795-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-025-06795-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-025-06795-0.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-025-06795-0.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044768714","display_name":"Franca Rocco di Torrepadula","orcid":"https://orcid.org/0000-0003-4099-5244"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Franca Rocco di Torrepadula","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio, 21, 80125, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio, 21, 80125, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084934349","display_name":"Marco Fisichella","orcid":"https://orcid.org/0000-0002-6894-1101"},"institutions":[{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Marco Fisichella","raw_affiliation_strings":["L3S Research Center, Leibniz University, Appelstra\u00dfe 9\u2009A, 30167, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"L3S Research Center, Leibniz University, Appelstra\u00dfe 9\u2009A, 30167, Hannover, Germany","institution_ids":["https://openalex.org/I4210136150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106313970","display_name":"Sergio Di Martino","orcid":"https://orcid.org/0000-0002-1019-9004"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sergio Di Martino","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio, 21, 80125, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio, 21, 80125, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045567395","display_name":"Nicola Mazzocca","orcid":"https://orcid.org/0000-0002-0401-9687"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Mazzocca","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio, 21, 80125, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio, 21, 80125, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084934349"],"corresponding_institution_ids":["https://openalex.org/I4210136150"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14375783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"114","issue":"7","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9965999722480774,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/computer-science","display_name":"Computer science","score":0.6905633211135864},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4998507499694824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.444199800491333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42880022525787354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07061022520065308}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6905633211135864},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4998507499694824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.444199800491333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42880022525787354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07061022520065308},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10994-025-06795-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-025-06795-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-025-06795-0.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10994-025-06795-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-025-06795-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-025-06795-0.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G29840918","display_name":null,"funder_award_id":"PE0000013-FAIR","funder_id":"https://openalex.org/F4320331528","funder_display_name":"Ministero dell'Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G6761001837","display_name":null,"funder_award_id":"101079043","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320322379","display_name":"Gottfried Wilhelm Leibniz Universit\u00e4t Hannover","ror":"https://ror.org/0304hq317"},{"id":"https://openalex.org/F4320331528","display_name":"Ministero dell'Universit\u00e0 e della Ricerca","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411209184.pdf","grobid_xml":"https://content.openalex.org/works/W4411209184.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1981780459","https://openalex.org/W2064675550","https://openalex.org/W2295598076","https://openalex.org/W2317582298","https://openalex.org/W2541884796","https://openalex.org/W2802509293","https://openalex.org/W2990138404","https://openalex.org/W3002095277","https://openalex.org/W3005308927","https://openalex.org/W3006555759","https://openalex.org/W3013908470","https://openalex.org/W3021026170","https://openalex.org/W3037669510","https://openalex.org/W3043748942","https://openalex.org/W3089578458","https://openalex.org/W3091864824","https://openalex.org/W3099314130","https://openalex.org/W3115214388","https://openalex.org/W3115909512","https://openalex.org/W3126441351","https://openalex.org/W3133814152","https://openalex.org/W3159709541","https://openalex.org/W3160187090","https://openalex.org/W3186458388","https://openalex.org/W3214882838","https://openalex.org/W4205731521","https://openalex.org/W4210656461","https://openalex.org/W4223541767","https://openalex.org/W4285174182","https://openalex.org/W4285260582","https://openalex.org/W4292483811","https://openalex.org/W4292537306","https://openalex.org/W4381199021","https://openalex.org/W4387987076","https://openalex.org/W4388193892","https://openalex.org/W4388297464","https://openalex.org/W4389937392","https://openalex.org/W4400915925","https://openalex.org/W4401452345","https://openalex.org/W4401872781","https://openalex.org/W6677096361"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Abstract":[0],"In":[1,39,150],"the":[2,10,25,42,86,127,232],"Intelligent":[3],"Public":[4],"Transportation":[5],"Systems":[6],"(IPTS)":[7],"domain,":[8],"predicting":[9,248],"number":[11],"of":[12,103,129,242],"commuters":[13],"on-board,":[14],"entering":[15],"or":[16,21],"leaving":[17],"a":[18,22,100,156,169,201],"metro":[19],"train":[20],"bus,":[23],"i.e.":[24],"Passenger":[26],"Flow":[27],"(PF),":[28],"is":[29,46,113,124,245],"crucial":[30],"for":[31,59,162],"optimizing":[32],"resource":[33],"allocation":[34],"and":[35,72,224],"enhancing":[36],"commuter":[37],"satisfaction.":[38],"urban":[40],"scenarios,":[41],"public":[43,137],"transport":[44],"system":[45],"often":[47],"managed":[48],"by":[49,132,147,182,209,214],"distinct":[50,133],"competing":[51],"mobility":[52,138,197],"providers.":[53],"Traditional":[54],"centralized":[55,221],"machine":[56],"learning":[57,159],"models":[58,176,216],"PF":[60,87,163,249],"prediction":[61],"usually":[62],"require":[63],"data":[64,121,130,198,252],"sharing":[65],"among":[66,97],"such":[67],"competitors,":[68],"leading":[69],"to":[70,173],"privacy":[71],"economic":[73],"concerns.":[74],"To":[75],"overcome":[76],"these":[77],"issues,":[78],"we":[79,153],"propose":[80,154],"exploiting":[81],"Federated":[82],"Learning":[83],"(FL)":[84],"in":[85,126,200,247],"predictions":[88,207],"problem,":[89],"as":[90],"only":[91,183],"model":[92],"parameters":[93],"must":[94],"be":[95],"shared":[96],"entities.":[98],"Still,":[99],"straightforward":[101],"application":[102],"FL":[104,117,206,244],"can":[105,118],"have":[106],"some":[107],"pitfalls.":[108],"On":[109],"one":[110],"hand,":[111],"it":[112],"widely":[114],"recognized":[115],"that":[116,228,239],"struggle":[119],"with":[120],"heterogeneity,":[122],"which":[123],"likely":[125],"case":[128],"acquired":[131],"companies":[134],"managing":[135],"different":[136],"services.":[139],"Moreover,":[140],"spatio-temporal":[141],"features":[142],"are":[143],"not":[144],"explicitly":[145],"handled":[146],"classical":[148],"FL.":[149],"this":[151],"paper,":[152],"FedFlow:":[155],"personalized":[157,170,243],"federated":[158],"framework":[160,167,191],"tailored":[161],"prediction.":[164],"The":[165,189],"proposed":[166,190],"encompasses":[168],"mechanism":[171],"meant":[172],"refine":[174],"local":[175,219],"based":[177],"on":[178,196,218],"client":[179],"similarities,":[180],"calculated":[181],"leveraging":[184],"publicly":[185],"available":[186],"domain-dependent":[187],"information.":[188],"has":[192],"been":[193],"experimentally":[194],"validated":[195],"collected":[199],"major":[202],"Italian":[203],"city,":[204],"comparing":[205],"obtained":[208,213],"FedFlow":[210,229],"against":[211],"those":[212],"LSTM":[215],"trained":[217],"data,":[220,222],"FedAvg,":[223],"PerFedAvg.":[225],"Results":[226],"show":[227],"outperforms":[230],"all":[231],"considered":[233],"adversary":[234],"techniques.":[235],"This":[236],"work":[237],"demonstrates":[238],"our":[240],"proposal":[241],"effective":[246],"while":[250],"ensuring":[251],"privacy.":[253]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
