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No.The paper's citation list
1Multi-Agent Reinforcement Learning Based Fully Decentralized Dynamic Time Division Configuration for 5G and B5G Network. 2022;22:1746 doi: 10.3390/s22051746
2Threats, attacks and defenses to federated learning: issues, taxonomy and perspectives. 2022;5: doi: 10.1186/s42400-021-00105-6
322. Internationales Stuttgarter Symposium. 2022;369 doi: 10.1007/978-3-658-37009-1_26
4Review of Algorithms, Frameworks and Implementation of Deep Machine Learning Algorithms. 2022;132 doi: 10.53759/181X/JCNS202202016
5Computer and Communication Engineering. 2022;1630:107 doi: 10.1007/978-3-031-17422-3_10
6978-1-5386-8347-7 Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks; 2022; ICC 2022 - IEEE International Conference on Communications;5256 doi: 10.1109/ICC45855.2022.9839122
7Federated and Transfer Learning. 2023;27:307 doi: 10.1007/978-3-031-11748-0_13
8Federated and Transfer Learning. 2023;27:329 doi: 10.1007/978-3-031-11748-0_14
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