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MOHAWK: Mobility and Heterogeneity-Aware Dynamic Community Selection for Hierarchical Federated Learning.

, , , , , and . IoTDI, page 249-261. ACM, (2023)

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Meta-Scheduling for the Wireless Downlink Through Learning With Bandit Feedback., , and . IEEE/ACM Trans. Netw., 30 (2): 487-500 (2022)Learning to route queries in unstructured P2P networks: Achieving throughput optimality subject to query resolution constraints., , and . INFOCOM, page 2327-2335. IEEE, (2012)Adaptive policies for real-time video transmission: A Markov decision process framework., , , and . ICIP, page 2249-2252. IEEE, (2011)Adaptive video transmission with subjective quality constraints., , , , and . ICIP, page 2477-2481. IEEE, (2014)Dynamic Network Densification: Overcoming Spatio-Temporal Variability in Wireless Traffic., and . GLOBECOM, page 1-6. IEEE, (2018)Transmission capacity of CDMA ad hoc networks employing successive interference cancellation., , , and . GLOBECOM, page 2838-2842. IEEE, (2004)Architecture and Abstractions for Environment and Traffic Aware System-Level Coordination of Wireless Networks: The Downlink Case., and . INFOCOM, page 502-510. IEEE, (2008)Performance evaluation and asymptotics for Content Delivery Networks., and . INFOCOM, page 2607-2615. IEEE, (2014)Optimizing stored video delivery for mobile networks: The value of knowing the future., and . INFOCOM, page 2706-2714. IEEE, (2013)Performance of peer-to-peer networks: Service capacity and role of resource sharing policies., and . Perform. Evaluation, 63 (3): 175-194 (2006)