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Federated Learning with Common Representation Learning Criterion and Personalized Predictor.

, , , , , and . SMC, page 2069-2074. IEEE, (2023)

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QDN: An Efficient Value Decomposition Method for Cooperative Multi-agent Deep Reinforcement Learning., , , and . ICTAI, page 1204-1211. IEEE, (2022)FedALP: An Adaptive Layer-Based Approach for Improved Personalized Federated Learning., , , , and . WASA (2), volume 13472 of Lecture Notes in Computer Science, page 80-92. Springer, (2022)Deep Skill Chaining with Diversity for Multi-agent Systems., , and . CICAI (3), volume 13606 of Lecture Notes in Computer Science, page 208-220. Springer, (2022)FedDGIC: Reliable and Efficient Asynchronous Federated Learning with Gradient Compensation., , , , and . ICPADS, page 98-105. IEEE, (2022)一种基于改进遗传算法的雾计算任务调度策略 (Fog Computing Task Scheduling Strategy Based on Improved Genetic Algorithm)., , and . 计算机科学, 45 (4): 137-142 (2018)基于稳定匹配的容器部署策略的优化 (Optimization of Container Deployment Strategy Based on Stable Matching)., , , and . 计算机科学, 45 (4): 131-136 (2018)A Multi-Sensory Guidance System for the Visually Impaired Using YOLO and ORB-SLAM., , , , , and . Inf., 13 (7): 343 (2022)Efficient Spiking Neural Architecture Search with Mixed Neuron Models and Variable Thresholds., , , and . ICONIP (2), volume 14448 of Lecture Notes in Computer Science, page 466-481. Springer, (2023)Towards an Optimized Distributed Message Queue System for AIoT Edge Computing: A Reinforcement Learning Approach., , , , and . Sensors, 23 (12): 5447 (2023)Energy-Efficient Stochastic Computing for Convolutional Neural Networks by Using Kernel-wise Parallelism., , , and . ISCAS, page 1-5. IEEE, (2023)