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Learning-Based Resource Allocation: Efficient Content Delivery Enabled by Convolutional Neural Network., , , , и . SPAWC, стр. 1-5. IEEE, (2019)Sparsification and Optimization for Energy-Efficient Federated Learning in Wireless Edge Networks., , , , , и . GLOBECOM, стр. 3071-3076. IEEE, (2022)Joint User Grouping and Power Allocation for MISO Systems: Learning to Schedule., , , , и . EUSIPCO, стр. 1-5. IEEE, (2019)Actor-Critic Deep Reinforcement Learning for Energy Minimization in UAV-Aided Networks., , , , и . EuCNC, стр. 348-352. IEEE, (2020)Adapting to Dynamic LEO-B5G Systems: Meta-Critic Learning Based Efficient Resource Scheduling., , , , , и . IEEE Trans. Wirel. Commun., 21 (11): 9582-9595 (2022)Actor-critic learning-based energy optimization for UAV access and backhaul networks., , , , , и . EURASIP J. Wirel. Commun. Netw., 2021 (1): 78 (2021)ProxSGD: Training Structured Neural Networks under Regularization and Constraints., , , , , и . ICLR, OpenReview.net, (2020)AG-MS: A User Grouping Scheme for DASH Multicast over Wireless Networks., , и . VTC Spring, стр. 1-5. IEEE, (2017)Optimality Analysis and Efficient Scheduling for Massive IoT-LEO Satellite Networks., , , , и . SPAWC, стр. 476-480. IEEE, (2023)Cache-Aware Joint Cell Association and Version Selection for Network Assisted DASH., , , и . ICC Workshops, стр. 1-6. IEEE, (2018)