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Local Anchor Schemes for Seamless and Low-Cost Handover in Coordinated Small Cells.

, and . IEEE Trans. Mob. Comput., 15 (5): 1182-1196 (2016)

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Traffic-Aware QoS Provisioning and Admission Control in OFDMA Hybrid Small Cells., and . IEEE Trans. Vehicular Technology, 63 (2): 802-810 (2014)EdgeML: Towards network-accelerated federated learning over wireless edge., , , , , and . Comput. Networks, (2022)Diverse Client Selection for Federated Learning via Submodular Maximization., , , , , and . ICLR, OpenReview.net, (2022)Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing., , , , , and . SEC, page 355-360. IEEE, (2021)Multi-Task Model Personalization for Federated Supervised SVM in Heterogeneous Networks., , , , , and . CoRR, (2023)Online Federated Learning based Object Detection across Autonomous Vehicles in a Virtual World., , , , , and . CCNC, page 919-920. IEEE, (2023)Deep Reinforcement Learning Based Traffic- and Channel-Aware OFDMA Resource Allocation., , , , and . GLOBECOM, page 1-6. IEEE, (2019)Resource Management and Fairness for Federated Learning over Wireless Edge Networks., , , and . SPAWC, page 1-5. IEEE, (2020)Model-Assisted Deep Reinforcement Learning for Dynamic Wireless Scheduling., , , and . ACSSC, page 1200-1203. IEEE, (2020)EdgeML: Towards Network-Accelerated Federated Learning over Wireless Edge., , , , , and . CoRR, (2021)