{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T04:13:20Z","timestamp":1775880800792,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T00:00:00Z","timestamp":1699833600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Institute of Information & communications Technology Planning & Evaluation (IITP)","award":["2019-0-00075"],"award-info":[{"award-number":["2019-0-00075"]}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2022R1A2B5B02001913"],"award-info":[{"award-number":["NRF-2022R1A2B5B02001913"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"SK Telecom"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,13]]},"DOI":"10.1145\/3589132.3625582","type":"proceedings-article","created":{"date-parts":[[2023,12,22]],"date-time":"2023-12-22T17:33:25Z","timestamp":1703266405000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5927-8443","authenticated-orcid":false,"given":"Chung","family":"Park","sequence":"first","affiliation":[{"name":"SK Telecom \/ KAIST, Seoul \/ Daejeon, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8141-2380","authenticated-orcid":false,"given":"Taekyoon","family":"Choi","sequence":"additional","affiliation":[{"name":"Naver, Seongnam, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2501-819X","authenticated-orcid":false,"given":"Taesan","family":"Kim","sequence":"additional","affiliation":[{"name":"SK Telelcom, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6219-245X","authenticated-orcid":false,"given":"Mincheol","family":"Cho","sequence":"additional","affiliation":[{"name":"SK Telelcom, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1606-8934","authenticated-orcid":false,"given":"Junui","family":"Hong","sequence":"additional","affiliation":[{"name":"SK Telelcom \/ KAIST, Seoul \/ Daejeon, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4424-6064","authenticated-orcid":false,"given":"Minsung","family":"Choi","sequence":"additional","affiliation":[{"name":"SK Telelcom, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1071-4835","authenticated-orcid":false,"given":"Jaegul","family":"Choo","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology, Daejeon, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,12,22]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Local indicators of spatial association---LISA. Geographical analysis 27, 2","author":"Anselin Luc","year":"1995","unstructured":"Luc Anselin . 1995. Local indicators of spatial association---LISA. Geographical analysis 27, 2 ( 1995 ), 93--115. Luc Anselin. 1995. Local indicators of spatial association---LISA. Geographical analysis 27, 2 (1995), 93--115."},{"key":"e_1_3_2_1_2_1","volume-title":"Flower: A Friendly Federated Learning Research Framework. arXiv preprint arXiv:2007.14390","author":"Beutel Daniel J","year":"2020","unstructured":"Daniel J Beutel , Taner Topal , Akhil Mathur , Xinchi Qiu , Titouan Parcollet , and Nicholas D Lane . 2020 . Flower: A Friendly Federated Learning Research Framework. arXiv preprint arXiv:2007.14390 (2020). Daniel J Beutel, Taner Topal, Akhil Mathur, Xinchi Qiu, Titouan Parcollet, and Nicholas D Lane. 2020. Flower: A Friendly Federated Learning Research Framework. arXiv preprint arXiv:2007.14390 (2020)."},{"key":"e_1_3_2_1_3_1","volume-title":"Protection against reconstruction and its applications in private federated learning. arXiv preprint arXiv:1812.00984","author":"Bhowmick Abhishek","year":"2018","unstructured":"Abhishek Bhowmick , John Duchi , Julien Freudiger , Gaurav Kapoor , and Ryan Rogers . 2018. Protection against reconstruction and its applications in private federated learning. arXiv preprint arXiv:1812.00984 ( 2018 ). Abhishek Bhowmick, John Duchi, Julien Freudiger, Gaurav Kapoor, and Ryan Rogers. 2018. Protection against reconstruction and its applications in private federated learning. arXiv preprint arXiv:1812.00984 (2018)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3381006","article-title":"PMF: A privacy-preserving human mobility prediction framework via federated learning","volume":"4","author":"Feng Jie","year":"2020","unstructured":"Jie Feng , Can Rong , Funing Sun , Diansheng Guo , and Yong Li . 2020 . PMF: A privacy-preserving human mobility prediction framework via federated learning . Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4 , 1 (2020), 1 -- 21 . Jie Feng, Can Rong, Funing Sun, Diansheng Guo, and Yong Li. 2020. PMF: A privacy-preserving human mobility prediction framework via federated learning. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4, 1 (2020), 1--21.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/234"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3487351.3490964"},{"key":"e_1_3_2_1_7_1","volume-title":"Federated learning for mobile keyboard prediction. arXiv preprint arXiv:1811.03604","author":"Hard Andrew","year":"2018","unstructured":"Andrew Hard , Kanishka Rao , Rajiv Mathews , Swaroop Ramaswamy , Fran\u00e7oise Beaufays , Sean Augenstein , Hubert Eichner , Chlo\u00e9 Kiddon , and Daniel Ramage . 2018. Federated learning for mobile keyboard prediction. arXiv preprint arXiv:1811.03604 ( 2018 ). Andrew Hard, Kanishka Rao, Rajiv Mathews, Swaroop Ramaswamy, Fran\u00e7oise Beaufays, Sean Augenstein, Hubert Eichner, Chlo\u00e9 Kiddon, and Daniel Ramage. 2018. Federated learning for mobile keyboard prediction. arXiv preprint arXiv:1811.03604 (2018)."},{"key":"e_1_3_2_1_8_1","volume-title":"Long short-term memory. Neural computation 9, 8","author":"Hochreiter Sepp","year":"1997","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber . 1997. Long short-term memory. Neural computation 9, 8 ( 1997 ), 1735--1780. Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long short-term memory. Neural computation 9, 8 (1997), 1735--1780."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1147"},{"key":"e_1_3_2_1_10_1","volume-title":"Learning private neural language modeling with attentive aggregation. In 2019 International joint conference on neural networks (IJCNN)","author":"Ji Shaoxiong","unstructured":"Shaoxiong Ji , Shirui Pan , Guodong Long , Xue Li , Jing Jiang , and Zi Huang . 2019. Learning private neural language modeling with attentive aggregation. In 2019 International joint conference on neural networks (IJCNN) . IEEE , 1--8. Shaoxiong Ji, Shirui Pan, Guodong Long, Xue Li, Jing Jiang, and Zi Huang. 2019. Learning private neural language modeling with attentive aggregation. In 2019 International joint conference on neural networks (IJCNN). IEEE, 1--8."},{"key":"e_1_3_2_1_11_1","volume-title":"International Conference on Machine Learning. PMLR, 5132--5143","author":"Karimireddy Sai Praneeth","year":"2020","unstructured":"Sai Praneeth Karimireddy , Satyen Kale , Mehryar Mohri , Sashank Reddi , Sebastian Stich , and Ananda Theertha Suresh . 2020 . Scaffold: Stochastic controlled averaging for federated learning . In International Conference on Machine Learning. PMLR, 5132--5143 . Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri, Sashank Reddi, Sebastian Stich, and Ananda Theertha Suresh. 2020. Scaffold: Stochastic controlled averaging for federated learning. In International Conference on Machine Learning. PMLR, 5132--5143."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397536.3422270"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01057"},{"key":"e_1_3_2_1_14_1","volume-title":"Federated Optimization in Heterogeneous Networks. In The 3rd MLSys Conference.","author":"Smith V Li","year":"2020","unstructured":"V Li T.; Sahu A. K.; Sanjabi M.; Zaheer M.; Talwalkar A.;and Smith . 2020 . Federated Optimization in Heterogeneous Networks. In The 3rd MLSys Conference. V Li T.; Sahu A. K.; Sanjabi M.; Zaheer M.; Talwalkar A.;and Smith. 2020. Federated Optimization in Heterogeneous Networks. In The 3rd MLSys Conference."},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence.","author":"Lin Yan","year":"2020","unstructured":"Yan Lin , Huaiyu Wan , Shengnan Guo , and Youfang Lin . 2020 . Pre-training context and time aware location embeddings from spatial-temporal trajectories for user next location prediction . In Proceedings of the AAAI Conference on Artificial Intelligence. Yan Lin, Huaiyu Wan, Shengnan Guo, and Youfang Lin. 2020. Pre-training context and time aware location embeddings from spatial-temporal trajectories for user next location prediction. In Proceedings of the AAAI Conference on Artificial Intelligence."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.9971"},{"key":"e_1_3_2_1_17_1","unstructured":"Brendan McMahan Eider Moore Daniel Ramage Seth Hampson and Blaise Aguera y Arcas. 2017. Communication-efficient learning of deep networks from decentralized data. In Artificial intelligence and statistics. PMLR 1273--1282.  Brendan McMahan Eider Moore Daniel Ramage Seth Hampson and Blaise Aguera y Arcas. 2017. Communication-efficient learning of deep networks from decentralized data. In Artificial intelligence and statistics. PMLR 1273--1282."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00821"},{"key":"e_1_3_2_1_19_1","volume-title":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, 125--140","author":"Park Chung","year":"2023","unstructured":"Chung Park , Taesan Kim , Junui Hong , Minsung Choi , and Jaegul Choo . 2023 . Pretraining Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations . In Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, 125--140 . Chung Park, Taesan Kim, Junui Hong, Minsung Choi, and Jaegul Choo. 2023. Pretraining Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, 125--140."},{"key":"e_1_3_2_1_20_1","volume-title":"Adaptive federated optimization. arXiv preprint arXiv:2003.00295","author":"Reddi Sashank","year":"2020","unstructured":"Sashank Reddi , Zachary Charles , Manzil Zaheer , Zachary Garrett , Keith Rush , Jakub Kone\u010dn\u1ef3 , Sanjiv Kumar , and H Brendan McMahan . 2020. Adaptive federated optimization. arXiv preprint arXiv:2003.00295 ( 2020 ). Sashank Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Kone\u010dn\u1ef3, Sanjiv Kumar, and H Brendan McMahan. 2020. Adaptive federated optimization. arXiv preprint arXiv:2003.00295 (2020)."},{"key":"e_1_3_2_1_21_1","volume-title":"Enforcing fairness in private federated learning via the modified method of differential multipliers. arXiv preprint arXiv:2109.08604","author":"Rodr\u00edguez-G\u00e1lvez Borja","year":"2021","unstructured":"Borja Rodr\u00edguez-G\u00e1lvez , Filip Granqvist , Rogier van Dalen , and Matt Seigel . 2021. Enforcing fairness in private federated learning via the modified method of differential multipliers. arXiv preprint arXiv:2109.08604 ( 2021 ). Borja Rodr\u00edguez-G\u00e1lvez, Filip Granqvist, Rogier van Dalen, and Matt Seigel. 2021. Enforcing fairness in private federated learning via the modified method of differential multipliers. arXiv preprint arXiv:2109.08604 (2021)."},{"key":"e_1_3_2_1_22_1","volume-title":"A mathematical theory of communication. ACM SIGMOBILE mobile computing and communications review 5, 1","author":"Shannon Claude Elwood","year":"2001","unstructured":"Claude Elwood Shannon . 2001. A mathematical theory of communication. ACM SIGMOBILE mobile computing and communications review 5, 1 ( 2001 ), 3--55. Claude Elwood Shannon. 2001. A mathematical theory of communication. ACM SIGMOBILE mobile computing and communications review 5, 1 (2001), 3--55."},{"key":"e_1_3_2_1_23_1","volume-title":"Location prediction with personalized federated learning. Soft Computing","author":"Wang Shuang","year":"2022","unstructured":"Shuang Wang , Bowei Wang , Shuai Yao , Jiangqin Qu , and Yuezheng Pan . 2022. Location prediction with personalized federated learning. Soft Computing ( 2022 ), 1--12. Shuang Wang, Bowei Wang, Shuai Yao, Jiangqin Qu, and Yuezheng Pan. 2022. Location prediction with personalized federated learning. Soft Computing (2022), 1--12."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17291"},{"key":"e_1_3_2_1_25_1","first-page":"32","article-title":"Geolife: A collaborative social networking service among user, location and trajectory","volume":"33","author":"Zheng Yu","year":"2010","unstructured":"Yu Zheng , Xing Xie , Wei-Ying Ma , 2010 . Geolife: A collaborative social networking service among user, location and trajectory . IEEE Data Eng. Bull. 33 , 2 (2010), 32 -- 39 . Yu Zheng, Xing Xie, Wei-Ying Ma, et al. 2010. Geolife: A collaborative social networking service among user, location and trajectory. IEEE Data Eng. Bull. 33, 2 (2010), 32--39.","journal-title":"IEEE Data Eng. Bull."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622444"}],"event":{"name":"SIGSPATIAL '23: 31st ACM International Conference on Advances in Geographic Information Systems","location":"Hamburg Germany","acronym":"SIGSPATIAL '23","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information"]},"container-title":["Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589132.3625582","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3589132.3625582","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:36:15Z","timestamp":1750178175000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589132.3625582"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,13]]},"references-count":26,"alternative-id":["10.1145\/3589132.3625582","10.1145\/3589132"],"URL":"https:\/\/doi.org\/10.1145\/3589132.3625582","relation":{},"subject":[],"published":{"date-parts":[[2023,11,13]]},"assertion":[{"value":"2023-12-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}