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PREFER: Point-of-interest REcommendation with efficiency and privacy-preservation via Federated Edge leaRning.

, , , , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 5 (1): 13:1-13:25 (2021)

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Image captioning for cultural artworks: a case study on ceramics., , , , , , and . Multim. Syst., 29 (6): 3223-3243 (December 2023)Leveraging heuristic client selection for enhanced secure federated submodel learning., , , , and . Inf. Process. Manag., 60 (3): 103211 (May 2023)Efficient Personalized Federated Learning on Selective Model Training., , , , and . ICASSP, page 1-5. IEEE, (2023)FEEL: A Federated Edge Learning System for Efficient and Privacy-Preserving Mobile Healthcare., , , , and . ICPP, page 9:1-9:11. ACM, (2020)PREFER: Point-of-interest REcommendation with efficiency and privacy-preservation via Federated Edge leaRning., , , , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 5 (1): 13:1-13:25 (2021)Edge-enabled Disaster Rescue: A Case Study of Searching for Missing People., , , , and . ACM Trans. Intell. Syst. Technol., 10 (6): 63:1-63:21 (2019)PARA: Performability-aware resource allocation on the edges for cloud-native services., , , , , , and . Int. J. Intell. Syst., 37 (11): 8523-8547 (2022)Privacy vs. Efficiency: Achieving Both Through Adaptive Hierarchical Federated Learning., , , , and . IEEE Trans. Parallel Distributed Syst., 34 (4): 1331-1342 (April 2023)MetaEM: Meta Embedding Mapping for Federated Cross-domain Recommendation to Cold-Start Users., , , , and . CollaborateCom (1), volume 460 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 154-172. Springer, (2022)Seeing is believing: Towards interactive visual exploration of data privacy in federated learning., , , , and . Inf. Process. Manag., 60 (2): 103162 (2023)