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Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach.

, , , , , and . CoRR, (2020)

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Coexistence Mechanism between eMBB and uRLLC in 5G Wireless Networks., , , , , , , and . CoRR, (2020)CDFed: Contribution-based Dynamic Federated Learning for Managing System and Statistical Heterogeneity., , , , and . NOMS, page 1-5. IEEE, (2023)Artificial Intelligence Framework for Target Oriented Integrated Sensing and Communication in Holographic MIMO., , , , and . NOMS, page 1-7. IEEE, (2023)Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging., , , , and . CoRR, (2021)Segment Anything Model Aided Beam Prediction for the Millimeter Wave Communication., , , , and . APNOMS, page 113-118. IEEE, (2023)Edge-of-things computing framework for cost-effective provisioning of healthcare data., , , , , and . J. Parallel Distributed Comput., (2019)Energy-Efficient Trajectory and Age of Information Optimization for Urban Air Mobility., , , , and . NOMS, page 1-5. IEEE, (2024)A matching based coexistence mechanism between eMBB and uRLLC in 5G wireless networks., , , , and . SAC, page 2377-2384. ACM, (2019)A Flexible Harmonic Control Approach Through Voltage-Controlled DG-Grid Interfacing Converters., , and . IEEE Trans. Ind. Electron., 59 (1): 444-455 (2012)Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging., , , , and . IEEE Internet Things J., 9 (16): 15184-15203 (2022)