{"id":"https://openalex.org/W4390100424","doi":"https://doi.org/10.1145/3589132.3625582","title":"FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning","display_name":"FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning","publication_year":2023,"publication_date":"2023-11-13","ids":{"openalex":"https://openalex.org/W4390100424","doi":"https://doi.org/10.1145/3589132.3625582"},"language":"en","primary_location":{"id":"doi:10.1145/3589132.3625582","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589132.3625582","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589132.3625582","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3589132.3625582","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032003070","display_name":"park chung","orcid":"https://orcid.org/0000-0001-5927-8443"},"institutions":[{"id":"https://openalex.org/I101155339","display_name":"Korea Telecom (South Korea)","ror":"https://ror.org/043n4tt17","country_code":"KR","type":"company","lineage":["https://openalex.org/I101155339"]},{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chung Park","raw_affiliation_strings":["SK Telecom / KAIST, Seoul / Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-5927-8443","affiliations":[{"raw_affiliation_string":"SK Telecom / KAIST, Seoul / Daejeon, South Korea","institution_ids":["https://openalex.org/I101155339","https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057365579","display_name":"Taekyoon Choi","orcid":"https://orcid.org/0009-0003-8141-2380"},"institutions":[{"id":"https://openalex.org/I60922564","display_name":"Naver (South Korea)","ror":"https://ror.org/04nzrnx83","country_code":"KR","type":"company","lineage":["https://openalex.org/I60922564"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taekyoon Choi","raw_affiliation_strings":["Naver, Seongnam, South Korea"],"raw_orcid":"https://orcid.org/0009-0003-8141-2380","affiliations":[{"raw_affiliation_string":"Naver, Seongnam, South Korea","institution_ids":["https://openalex.org/I60922564"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063832098","display_name":"Tae\u2010San Kim","orcid":"https://orcid.org/0000-0002-2501-819X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Taesan Kim","raw_affiliation_strings":["SK Telelcom, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-2501-819X","affiliations":[{"raw_affiliation_string":"SK Telelcom, Seoul, South Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102840343","display_name":"Mincheol Cho","orcid":"https://orcid.org/0009-0006-6219-245X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mincheol Cho","raw_affiliation_strings":["SK Telelcom, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0009-0006-6219-245X","affiliations":[{"raw_affiliation_string":"SK Telelcom, Seoul, South Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048220839","display_name":"Junui Hong","orcid":"https://orcid.org/0000-0003-1606-8934"},"institutions":[{"id":"https://openalex.org/I101155339","display_name":"Korea Telecom (South Korea)","ror":"https://ror.org/043n4tt17","country_code":"KR","type":"company","lineage":["https://openalex.org/I101155339"]},{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junui Hong","raw_affiliation_strings":["SK Telelcom / KAIST, Seoul / Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-1606-8934","affiliations":[{"raw_affiliation_string":"SK Telelcom / KAIST, Seoul / Daejeon, South Korea","institution_ids":["https://openalex.org/I101155339","https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101568405","display_name":"Minsung Choi","orcid":"https://orcid.org/0000-0003-4424-6064"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minsung Choi","raw_affiliation_strings":["SK Telelcom, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-4424-6064","affiliations":[{"raw_affiliation_string":"SK Telelcom, Seoul, South Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047912015","display_name":"Jaegul Choo","orcid":"https://orcid.org/0000-0003-1071-4835"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaegul Choo","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-1071-4835","affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4439,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84796376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9937000274658203,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8447859287261963},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6413155198097229},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5045543909072876},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4349377453327179},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40234512090682983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3616287112236023}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8447859287261963},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6413155198097229},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5045543909072876},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4349377453327179},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40234512090682983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3616287112236023},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589132.3625582","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589132.3625582","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589132.3625582","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3589132.3625582","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589132.3625582","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589132.3625582","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1286046652","display_name":null,"funder_award_id":"NRF-2022R1A2B5B02001913","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G1769687045","display_name":null,"funder_award_id":"2019-0-00075","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G2148870006","display_name":null,"funder_award_id":"2019-0-00075","funder_id":"https://openalex.org/F4320324161","funder_display_name":"Korea Advanced Institute of Science and Technology"},{"id":"https://openalex.org/G2278400589","display_name":null,"funder_award_id":"NRF-2022R1A2B5B02001913","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G4628738581","display_name":null,"funder_award_id":"No. 2019-0-00075","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G5415505637","display_name":null,"funder_award_id":"2019-0-00075","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G7064264939","display_name":null,"funder_award_id":"2019-0-00075","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320324161","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390100424.pdf","grobid_xml":"https://content.openalex.org/works/W4390100424.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1626398438","https://openalex.org/W2539781657","https://openalex.org/W2741206673","https://openalex.org/W2947469743","https://openalex.org/W2962949580","https://openalex.org/W3011892127","https://openalex.org/W3108779394","https://openalex.org/W3173670432","https://openalex.org/W3182158470","https://openalex.org/W4205088567","https://openalex.org/W4312950667"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"A":[0],"User":[1],"Next":[2],"Location":[3],"Prediction":[4],"(UNLP)":[5],"task,":[6],"which":[7,139],"predicts":[8],"the":[9,83,115,126,141,160,165,183,197,204,231,275],"next":[10],"location":[11],"that":[12,195,245],"a":[13,26,38,133,179,191,265],"user":[14],"will":[15],"move":[16],"to":[17,63,70,81,109,159,202,249],"given":[18],"his/her":[19],"trajectory,":[20],"is":[21,170,247],"an":[22],"indispensable":[23],"task":[24],"for":[25,103,129,137,253],"wide":[27],"range":[28],"of":[29,114,117,143,182,206],"applications.":[30],"Previous":[31],"studies":[32,100],"using":[33,268],"large-scale":[34],"trajectory":[35,68],"datasets":[36,69],"in":[37,45,49,173,186,256,264],"single":[39],"server":[40],"have":[41,56],"achieved":[42],"remarkable":[43],"performance":[44,112,255],"UNLP":[46,257],"task.":[47,258],"However,":[48],"real-world":[50,266],"applications,":[51],"legal":[52],"and":[53,94,146,274],"ethical":[54],"issues":[55],"been":[57],"raised":[58],"regarding":[59],"privacy":[60,85,149],"concerns":[61],"leading":[62],"restrictions":[64],"against":[65],"sharing":[66],"human":[67],"any":[71],"other":[72,250],"server.":[73],"In":[74],"response,":[75],"Federated":[76,127],"Learning":[77,128],"(FL)":[78],"has":[79,177],"emerged":[80],"address":[82],"personal":[84,148],"issue":[86],"by":[87,210,234],"collaboratively":[88],"training":[89],"multiple":[90],"clients":[91,225,237],"(i.e.,":[92],"users)":[93],"then":[95],"aggregating":[96],"them.":[97],"While":[98],"previous":[99],"employed":[101],"FL":[102,134,232,251,276],"UNLP,":[104,138],"they":[105],"are":[106],"still":[107],"unable":[108],"achieve":[110],"reliable":[111],"because":[113],"heterogeneity":[116,142],"clients'":[118,144],"mobility.":[119],"To":[120],"tackle":[121],"this":[122],"problem,":[123],"we":[124,152,222],"propose":[125],"Geographic":[130],"Information":[131],"(FedGeo),":[132],"framework":[135],"specialized":[136],"alleviates":[140],"mobility":[145],"guarantees":[147],"protection.":[150],"Firstly,":[151],"incorporate":[153],"prior":[154],"global":[155],"geographic":[156],"adjacency":[157],"information":[158],"local":[161],"client":[162,175,200,207,213],"model,":[163],"since":[164],"spatial":[166],"correlation":[167],"between":[168,199,212],"locations":[169],"trained":[171],"partially":[172],"each":[174],"who":[176,238],"only":[178],"heterogeneous":[180,219,228],"subset":[181],"overall":[184],"trajectories":[185],"FL.":[187],"We":[188,243,259],"also":[189,260],"introduce":[190],"novel":[192],"aggregation":[193],"method":[194],"minimizes":[196],"gap":[198],"models":[201,214],"solve":[203],"problem":[205],"drift":[208],"caused":[209],"differences":[211],"when":[215],"learning":[216],"with":[217,226],"their":[218],"data.":[220],"Lastly,":[221],"probabilistically":[223],"exclude":[224],"extremely":[227],"data":[229],"from":[230],"process":[233],"focusing":[235],"on":[236],"visit":[239],"relatively":[240],"diverse":[241],"locations.":[242],"show":[244],"FedGeo":[246],"superior":[248],"methods":[252],"model":[254,263],"validated":[261],"our":[262,269],"application":[267],"own":[270],"customers'":[271],"mobile":[272],"phones":[273],"agent":[277],"system.":[278]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
