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Reward-Reinforced Reinforcement Learning for Multi-agent Systems., , , , и . CoRR, (2021)Privacy Preservation in Kubernetes-based Federated Learning: A Networking Approach., , , , , , , , и . INFOCOM Workshops, стр. 1-7. IEEE, (2023)Querying and Annotating Model Histories with Time-Aware Patterns., , , и . MoDELS, стр. 194-204. IEEE, (2019)Reward-Reinforced Generative Adversarial Networks for Multi-Agent Systems., , , , и . IEEE Trans. Emerg. Top. Comput. Intell., 6 (3): 479-488 (2022)AI Model Placement for 6G Networks under Epistemic Uncertainty Estimation., , , , и . CoRR, (2024)History-aware explanations: towards enabling human-in-the-loop in self-adaptive systems., , , и . MoDELS (Companion), стр. 286-295. ACM, (2022)Towards an architecture integrating complex event processing and temporal graphs for service monitoring., , , , и . SAC, стр. 427-435. ACM, (2021)Federated Hyperparameter Optimisation with Flower and Optuna., , , , и . SAC, стр. 1209-1216. ACM, (2023)Towards History-Aware Self-Adaptation with Explanation Capabilities., , , и . FAS*W@SASO/ICAC, стр. 18-23. IEEE, (2019)Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities., , , , , и . CoRR, (2024)