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Deep Reinforcement Learning-Based Task Assignment for Cooperative Mobile Edge Computing.

, , , and . IEEE Trans. Mob. Comput., 23 (4): 3156-3171 (April 2024)

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Integrating Fronthaul and Backhaul Networks: Transport Challenges and Feasibility Results., , , , , , , , , and 1 other author(s). IEEE Trans. Mob. Comput., 20 (2): 533-549 (2021)Experimental Study on Deployment of Mobile Edge Computing to Improve Wireless Video Streaming Quality., , , , and . WASA, volume 10874 of Lecture Notes in Computer Science, page 151-163. Springer, (2018)BlockFed: A High-Performance and Trustworthy Blockchain-Based Federated Learning Framework., , , , and . GLOBECOM, page 892-897. IEEE, (2023)Green Federated Learning via Energy-Aware Client Selection., , , , , and . GLOBECOM, page 13-18. IEEE, (2022)Quality of Service Optimization in Mobile Edge Computing Networks via Deep Reinforcement Learning., , , and . WASA (1), volume 12384 of Lecture Notes in Computer Science, page 145-157. Springer, (2020)Dissecting the Impact of Information and Communication Technologies on Digital Twins as a Service., , , and . IEEE Access, (2021)Orchestrating Networked Robotic Applications., , , , , and . CoRR, (2022)Don't Let Me Down! Offloading Robot VFs Up to the Cloud., , , , and . NetSoft, page 232-236. IEEE, (2023)Redactable Distributed Ledgers: A Survey., , , , and . Distributed Ledger Technol. Res. Pract., 2 (3): 1-26 (September 2023)Wireless Adaptive Video Streaming with Edge Cloud., , , , and . Wirel. Commun. Mob. Comput., (2018)