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Enhancing Edge robotics through the use of context information., , , , , и . EM-5G@CoNEXT, стр. 7-12. ACM, (2018)Wireless Adaptive Video Streaming with Edge Cloud., , , , и . Wirel. Commun. Mob. Comput., (2018)A comparative study of name resolution and routing mechanisms in information-centric networks., , , и . Digit. Commun. Networks, 5 (2): 69-75 (2019)Experimental Study on Deployment of Mobile Edge Computing to Improve Wireless Video Streaming Quality., , , , и . WASA, том 10874 из Lecture Notes in Computer Science, стр. 151-163. Springer, (2018)Green Federated Learning via Energy-Aware Client Selection., , , , , и . GLOBECOM, стр. 13-18. IEEE, (2022)BlockFed: A High-Performance and Trustworthy Blockchain-Based Federated Learning Framework., , , , и . GLOBECOM, стр. 892-897. IEEE, (2023)Quality of Service Optimization in Mobile Edge Computing Networks via Deep Reinforcement Learning., , , и . WASA (1), том 12384 из Lecture Notes in Computer Science, стр. 145-157. Springer, (2020)Don't Let Me Down! Offloading Robot VFs Up to the Cloud., , , , и . NetSoft, стр. 232-236. IEEE, (2023)Metaverse Services: The Way of Services Towards the Future., , , , , , и . ICWS, стр. 179-185. IEEE, (2023)Demo Abstract: Toward the Convergence of the Next-Generation Wireless and AI., , , и . INFOCOM (Workshops), стр. 1-6. IEEE, (2024)