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Application of Improved Differential Evolution Algorithm for Economic and Emission Dispatch of Thermal Power Generation Plants., , , и . ICMLSC, стр. 93-98. ACM, (2019)CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization., , , , , , и . CCGrid, стр. 249-261. IEEE, (2023)Applying PNZ Model in Reliability Prediction of Component-Based Systems and Fault Tolerance Structures Technique., , , и . ICCASA, том 165 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 272-281. Springer, (2015)FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning., , , , , , , и . ICPP, стр. 73:1-73:11. ACM, (2022)Deep Reinforcement Learning-based Charging Algorithm for Target Coverage and Connectivity in WRSNs., , , , , , и . PIMRC, стр. 1178-1184. IEEE, (2022)Strengthening Gradient Descent by Sequential Motion Optimization for Deep Neural Networks., , , и . IEEE Trans. Evol. Comput., 27 (3): 565-579 (2023)Multi-Agent Multi-Armed Bandit Learning for Offloading Delay Minimization in V2X Networks., , , , и . EUC, стр. 47-55. IEEE, (2021)Deep Reinforcement Learning-based Offloading for Latency Minimization in 3-tier V2X Networks., , , , , и . WCNC, стр. 1803-1808. IEEE, (2022)Balancing composite motion optimization., , и . Inf. Sci., (2020)SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning., , , , , и . candar, стр. 120-126. IEEE, (2023)