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Dynamic Network Service Selection in IRS-Assisted Wireless Networks: A Game Theory Approach.

, , , , , and . IEEE Trans. Veh. Technol., 70 (5): 5160-5165 (2021)

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Toward Smart Security Enhancement of Federated Learning Networks., , , and . CoRR, (2020)A Survey of Coded Distributed Computing., , , , , , , and . CoRR, (2020)Dynamic Network Service Selection in IRS-Assisted Wireless Networks: A Game Theory Approach., , , , , and . CoRR, (2020)Efficient Training Management for Mobile Crowd-Machine Learning: A Deep Reinforcement Learning Approach., , , , and . CoRR, (2018)Improved time synchronization in presence of imperfect channel state information., , , and . ICASSP, page 4903-4907. IEEE, (2013)Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach., , , , and . CoRR, (2019)Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey., , , , , , and . CoRR, (2021)Applications of Auction and Mechanism Design in Edge Computing: A Survey., , , , , and . CoRR, (2021)Dynamic Network Service Selection in IRS-Assisted Wireless Networks: A Game Theory Approach., , , , , and . IEEE Trans. Veh. Technol., 70 (5): 5160-5165 (2021)Joint time scheduling and transaction fee selection in blockchain-based RF-powered backscatter cognitive radio network., , , , and . Comput. Networks, (2022)