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A Multi-Channel Composite Recommendation Method in Federated Learning.

S. Chen, Q. Li, Q. Wang, X. Zhao, H. Ge, и N. Li. DASC/PiCom/CBDCom/CyberSciTech, стр. 698-705. IEEE, (2023)

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Li Li

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Resource allocation based on quantum particle swarm optimization and RBF neural network for overlay cognitive OFDM System.L. Xu, F. Qian, Y. Li, Q. Li, Y. Yang, и J. Xu. Neurocomputing, (2016)A delay-based dynamic scheduling algorithm for bag-of-task workflows with stochastic task execution times in clouds.Z. Cai, X. Li, R. Ruiz, и Q. Li. Future Gener. Comput. Syst., (2017)Low-cohesion differential privacy protection for industrial Internet.J. Hou, Q. Li, S. Cui, S. Meng, S. Zhang, Z. Ni, и Y. Tian. J. Supercomput., 76 (11): 8450-8472 (2020)基于文化基因算法和最小二乘支持向量机的安全数据特征处理方法 (Feature Processing Approach Based on MA-LSSVM in Safety Data).Y. Ma, Y. Shi, H. Zhang, Q. Lin, и Q. Li. 计算机科学, 44 (3): 237-241 (2017)A privacy-preserving recommendation method with clustering and locality-sensitive hashing.H. Zhang, Q. Li, J. Xu, S. Meng, и J. Hou. Comput. Intell., 39 (1): 121-144 (февраля 2023)A defensive design for control application based on networked systems.A. Rajput, M. Aslam, Q. Li, I. Qaisar, и S. Niazi. Soft Comput., 27 (1): 547-558 (2023)An Active Defense Model in Edge Computing Based on Network Topology Mimetic Correlation.S. Wang, Q. Li, S. Meng, B. Zhang, и C. Zhou. MobiCASE, том 290 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 198-212. Springer, (2019)Self-similarity Analysis and Application of Network Traffic.Y. Xu, Q. Li, и S. Meng. MobiCASE, том 290 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 112-125. Springer, (2019)Label Aggregation with Clustering for Biased Crowdsourced Labeling.M. Wu, Q. Li, J. Zhang, и J. Hou. ICMLC, стр. 165-169. ACM, (2022)An accident prediction approach based on XGBoost.X. Shi, Q. Li, Y. Qi, T. Huang, и J. Li. ISKE, стр. 1-7. IEEE, (2017)

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