{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T20:27:35Z","timestamp":1786480055610,"version":"build-2736575974"},"reference-count":43,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100005230","name":"Chongqing Natural Science Foundation","doi-asserted-by":"publisher","award":["CSTB2024NSCQ-MSX0617"],"award-info":[{"award-number":["CSTB2024NSCQ-MSX0617"]}],"id":[{"id":"10.13039\/501100005230","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Sciences"],"published-print":{"date-parts":[[2027,1]]},"DOI":"10.1016\/j.ins.2026.123952","type":"journal-article","created":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T16:14:22Z","timestamp":1785168862000},"page":"123952","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Temporal modulation with anchor routing for heterogeneous federated POI recommendation"],"prefix":"10.1016","volume":"758","author":[{"given":"Xuzheng","family":"He","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3129-9052","authenticated-orcid":false,"given":"Jun","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoran","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6561-560X","authenticated-orcid":false,"given":"Junhao","family":"Wen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ins.2026.123952_bib0005","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1007\/s10707-024-00531-x","article-title":"Exploring the evolution, progress, and future of point-of-interest recommendation over location-based social network: a comprehensive review","volume":"29","author":"Acharya","year":"2025","journal-title":"Geoinformatica"},{"issue":"6","key":"10.1016\/j.ins.2026.123952_bib0010","doi-asserted-by":"crossref","first-page":"3153","DOI":"10.1109\/TKDE.2025.3551292","article-title":"A survey on point-of-interest recommendation: models, architectures, and security","volume":"37","author":"Zhang","year":"2025","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.ins.2026.123952_bib0015","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1007\/s40860-024-00233-z","article-title":"A survey on graph neural network-based next POI recommendation for smart cities","volume":"10","author":"Yu","year":"2024","journal-title":"J. Reliab. Intell. Environ."},{"key":"10.1016\/j.ins.2026.123952_bib0020","series-title":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","first-page":"175","article-title":"Where have you been? A study of privacy risk for point-of-interest recommendation","author":"Cai","year":"2024"},{"key":"10.1016\/j.ins.2026.123952_bib0025","series-title":"2022 IEEE International Conference on Data Mining (ICDM)","first-page":"61","article-title":"Contractible regularization for federated learning on non-iid data","author":"Chen","year":"2022"},{"key":"10.1016\/j.ins.2026.123952_bib0030","series-title":"Artificial Intelligence and Statistics","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"McMahan","year":"2017"},{"key":"10.1016\/j.ins.2026.123952_bib0035","doi-asserted-by":"crossref","first-page":"19188","DOI":"10.1109\/JIOT.2024.3376548","article-title":"Federated learning with non-iid data: a survey","volume":"11","author":"Lu","year":"2024","journal-title":"IEEE Internet Things J."},{"key":"10.1016\/j.ins.2026.123952_bib0040","series-title":"International Conference on Machine Learning","first-page":"5132","article-title":"Scaffold: stochastic controlled averaging for federated learning","author":"Karimireddy","year":"2020"},{"key":"10.1016\/j.ins.2026.123952_bib0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2025.108782","article-title":"Pre-attentive speech signal processing with adaptive routing for emotion recognition","volume":"112","author":"Zhang","year":"2026","journal-title":"Biomed. Signal Process. Control"},{"key":"10.1016\/j.ins.2026.123952_bib0050","series-title":"2018 IEEE International Conference on Data Mining (ICDM)","first-page":"197","article-title":"Self-attentive sequential recommendation","author":"Kang","year":"2018"},{"key":"10.1016\/j.ins.2026.123952_bib0055","series-title":"Proceedings of the Web Conference 2021","first-page":"2177","article-title":"Stan: spatio-temporal attention network for next location recommendation","author":"Luo","year":"2021"},{"key":"10.1016\/j.ins.2026.123952_bib0060","series-title":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","first-page":"2612","article-title":"Next point-of-interest recommendation with auto-correlation enhanced multi-modal transformer network","author":"Qin","year":"2022"},{"key":"10.1016\/j.ins.2026.123952_bib0065","doi-asserted-by":"crossref","first-page":"8362","DOI":"10.1109\/TKDE.2024.3425151","article-title":"GeoCo: geographical correlation enhanced network for POI recommendation","volume":"36","author":"Pan","year":"2024","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.ins.2026.123952_bib0070","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"12550","article-title":"Integrating personalized spatio-temporal clustering for next POI recommendation","volume":"vol. 39","author":"Song","year":"2025"},{"key":"10.1016\/j.ins.2026.123952_bib0075","series-title":"2025 International Conference on Engineering Innovations and Technologies (ICoEIT)","first-page":"170","article-title":"ContextPOI: a contextually-enhanced embedding framework for point of interest category recommendation using large language models and BERT embeddings","author":"Bansal","year":"2025"},{"key":"10.1016\/j.ins.2026.123952_bib0080","series-title":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2","first-page":"2904","article-title":"Generative next POI recommendation with semantic id","author":"Wang","year":"2025"},{"issue":"7","key":"10.1016\/j.ins.2026.123952_bib0085","doi-asserted-by":"crossref","first-page":"5451","DOI":"10.1109\/TII.2025.3555993","article-title":"Privacy-preserving recommendations with mixture model-based matrix factorization under local differential privacy","volume":"21","author":"Zhang","year":"2025","journal-title":"IEEE Trans. Ind. Inform."},{"key":"10.1016\/j.ins.2026.123952_bib0090","series-title":"2025 Second International Conference on Artificial Intelligence for Medicine, Health and Care (AIxMHC)","first-page":"143","article-title":"Weighted federated learning with encryption for diabetes classification","author":"Zhao","year":"2025"},{"key":"10.1016\/j.ins.2026.123952_bib0095","series-title":"International Conference on Learning Representations","article-title":"Federated learning based on dynamic regularization","author":"Durmus","year":"2021"},{"key":"10.1016\/j.ins.2026.123952_bib0100","series-title":"Proceedings of the 32nd ACM International Conference on Multimedia","first-page":"5201","article-title":"One-shot sequential federated learning for non-iid data by enhancing local model diversity","author":"Wang","year":"2024"},{"key":"10.1016\/j.ins.2026.123952_bib0105","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence, 39","first-page":"21752","article-title":"Federated learning with sample-level client drift mitigation","author":"Xu","year":"2025"},{"key":"10.1016\/j.ins.2026.123952_bib0110","series-title":"2023 IEEE International Conference on Cluster Computing (CLUSTER)","first-page":"72","article-title":"Fedguard: selective parameter aggregation for poisoning attack mitigation in federated learning","author":"Chelli","year":"2023"},{"key":"10.1016\/j.ins.2026.123952_bib0115","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"30651","article-title":"FedAWA: adaptive optimization of aggregation weights in federated learning using client vectors","author":"Shi","year":"2025"},{"key":"10.1016\/j.ins.2026.123952_bib0120","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2025.109312","article-title":"Demography-aware personalized federated learning for fair, private, and efficient clinical risk prediction","volume":"114","author":"Zhao","year":"2026","journal-title":"Biomed. Signal Process. Control"},{"key":"10.1016\/j.ins.2026.123952_bib0125","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2024.103852","article-title":"SCFL: spatio-temporal consistency federated learning for next POI recommendation","volume":"61","author":"Zhong","year":"2024","journal-title":"Inf. Process. Manag."},{"key":"10.1016\/j.ins.2026.123952_bib0130","series-title":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","first-page":"1234","article-title":"Fedfast: going beyond average for faster training of federated recommender systems","author":"Muhammad","year":"2020"},{"issue":"6","key":"10.1016\/j.ins.2026.123952_bib0135","doi-asserted-by":"crossref","first-page":"3780","DOI":"10.1109\/TSC.2025.3607918","article-title":"FedHGS: a federated point-of-interest recommendation method based on heterogeneous graph semantic","volume":"18","author":"Dong","year":"2025","journal-title":"IEEE Trans. Serv. Comput."},{"key":"10.1016\/j.ins.2026.123952_bib0140","doi-asserted-by":"crossref","first-page":"7915","DOI":"10.1109\/JIOT.2025.3531117","article-title":"Asynchronous federated learning with local differential privacy for privacy-enhanced recommender systems","volume":"12","author":"Zhao","year":"2025","journal-title":"IEEE Internet Things J."},{"key":"10.1016\/j.ins.2026.123952_bib0145","series-title":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","first-page":"1687","article-title":"FedCIA: federated collaborative information aggregation for privacy-preserving recommendation","author":"Han","year":"2025"},{"key":"10.1016\/j.ins.2026.123952_bib0150","doi-asserted-by":"crossref","DOI":"10.1002\/dac.5161","article-title":"Geographical POI recommendation for internet of things: a federated learning approach using matrix factorization","volume":"38","author":"Huang","year":"2025","journal-title":"Int. J. Commun. Syst."},{"key":"10.1016\/j.ins.2026.123952_bib0155","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.113754","article-title":"AdapFedRec: a framework for enhanced federated recommendations with adaptive client aggregation and sampling","volume":"324","author":"He","year":"2025","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.ins.2026.123952_bib0160","series-title":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","first-page":"413","article-title":"Fine-grained preference-aware personalized federated POI recommendation with data sparsity","author":"Zhang","year":"2023"},{"key":"10.1016\/j.ins.2026.123952_bib0165","doi-asserted-by":"crossref","first-page":"7351","DOI":"10.1007\/s11063-023-11264-7","article-title":"Sequential POI recommend based on personalized federated learning","volume":"55","author":"Dong","year":"2023","journal-title":"Neural Process. Lett."},{"key":"10.1016\/j.ins.2026.123952_bib0170","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3560486","article-title":"ReFRS: resource-efficient federated recommender system for dynamic and diversified user preferences","volume":"41","author":"Imran","year":"2023","journal-title":"ACM Trans. Inf. Syst."},{"key":"10.1016\/j.ins.2026.123952_bib0175","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","article-title":"Film: visual reasoning with a general conditioning layer","volume":"vol. 32","author":"Perez","year":"2018"},{"key":"10.1016\/j.ins.2026.123952_bib0180","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1109\/TSMC.2014.2327053","article-title":"Modeling user activity preference by leveraging user spatial temporal characteristics in LBSNs","volume":"45","author":"Yang","year":"2014","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"10.1016\/j.ins.2026.123952_bib0185","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume":"2","author":"Li","year":"2020","journal-title":"Proc. Mach. Learn. Syst."},{"key":"10.1016\/j.ins.2026.123952_bib0190","series-title":"International Conference on Learning Representations (ICLR)","article-title":"Adaptive federated optimization","author":"Reddi","year":"2021"},{"key":"10.1016\/j.ins.2026.123952_bib0195","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"11237","article-title":"Fedala: adaptive local aggregation for personalized federated learning","volume":"vol. 37","author":"Zhang","year":"2023"},{"key":"10.1016\/j.ins.2026.123952_bib0200","author":"Wang"},{"key":"10.1016\/j.ins.2026.123952_bib0205","doi-asserted-by":"crossref","first-page":"767","DOI":"10.1016\/j.ins.2022.12.024","article-title":"FedPOIRec: privacy-preserving federated POI recommendation with social influence","volume":"623","author":"Perifanis","year":"2023","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ins.2026.123952_bib0210","first-page":"1","article-title":"LightFR: lightweight federated recommendation with privacy-preserving matrix factorization","volume":"41","author":"Zhang","year":"2023","journal-title":"ACM Trans. Inf. Syst."},{"key":"10.1016\/j.ins.2026.123952_bib0215","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2024.121057","article-title":"SFL: a semantic-based federated learning method for POI recommendation","volume":"679","author":"Dong","year":"2024","journal-title":"Inf. Sci."}],"container-title":["Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025526008832?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025526008832?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T19:30:47Z","timestamp":1786476647000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0020025526008832"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2027,1]]},"references-count":43,"alternative-id":["S0020025526008832"],"URL":"https:\/\/doi.org\/10.1016\/j.ins.2026.123952","relation":{},"ISSN":["0020-0255"],"issn-type":[{"value":"0020-0255","type":"print"}],"subject":[],"published":{"date-parts":[[2027,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Temporal modulation with anchor routing for heterogeneous federated POI recommendation","name":"articletitle","label":"Article Title"},{"value":"Information Sciences","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ins.2026.123952","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"123952"}}