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An Efficient Prediction-Based User Recruitment for Mobile Crowdsensing., , , , and . IEEE Trans. Mob. Comput., 17 (1): 16-28 (2018)A Knapsack-based buffer management strategy for delay-tolerant networks., , and . J. Parallel Distributed Comput., (2015)Distributed Game-Theoretical Task Offloading for Mobile Edge Computing., , , , , and . MASS, page 216-224. IEEE, (2021)Data-Driven Similarity-based Worker Recruitment Towards Multi-task Data Inference for Sparse Mobile Crowdsensing., , , , , , and . IWQoS, page 1-10. IEEE, (2023)Sequentially Localizing LoRa Terminals with A Single UAV., , , , and . WCNC, page 1-6. IEEE, (2023)A Knapsack-Based Message Scheduling and Drop Strategy for Delay-Tolerant Networks., , and . EWSN, volume 8965 of Lecture Notes in Computer Science, page 120-134. Springer, (2015)Spatial-Temporal Interval Aware Individual Future Trajectory Prediction., , , and . IEEE Trans. Knowl. Data Eng., 36 (10): 5374-5387 (October 2024)Just Enough Disclosure (JED): Taking Advantage of Non-IID Data for Federated Learning in Mobile Edge Computing., and . ICC Workshops, page 656-660. IEEE, (2024)META-MCS: A Meta-knowledge Based Multiple Data Inference Framework., , , , and . INFOCOM, page 1351-1360. IEEE, (2024)Outlier-Concerned Data Completion Exploiting Intra- and Inter-Data Correlations in Sparse CrowdSensing., , , , , , and . IEEE/ACM Trans. Netw., 31 (2): 648-663 (April 2023)