中国科学院计算技术研究所机构知识库

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	AptEVS: Adaptive Edge-and-Vehicle Scheduling for Hierarchical Federated Learning over Vehicular Networks 期刊论文 ELECTRONICS, 2026, 卷号: 15, 期号: 2, 页码: 28 作者:  Tian, Yu;  Wang, Nina;  Zhang, Zongshuai;  Zou, Wenhao;  Zhao, Liangjie;  Liu, Shiyao;  Tian, Lin 收藏  |  浏览/下载：2/0  |  提交时间：2026/05/25 hierarchical federated learning  deep reinforcement learning  edge-and-vehicle scheduling  vehicular networks
	Joint optimization of data sensing and computing in the air-ground collaborative inference framework: A multi-agent hybrid-action DRL approach 期刊论文 COMPUTER NETWORKS, 2025, 卷号: 270, 页码: 13 作者:  Fan, Xiaokun;  Chen, Yali;  Liu, Min;  Zhu, Yuchen;  Li, Zhongcheng 收藏  |  浏览/下载：27/0  |  提交时间：2025/12/03 Edge computing  Joint sensing and computing  Multi-agent deep reinforcement learning  Unmanned aerial vehicle  Video surveillance
	Query-Aware Semantic Encoder-Based Resource Allocation in Task-Oriented Communications 期刊论文 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2025, 卷号: 24, 期号: 7, 页码: 6413-6429 作者:  Cai, Qing;  Zhou, Yiqing;  Liu, Ling;  Yu, Hanxiao;  Wu, Yihao;  Shi, Ningzhe;  Shi, Jinglin 收藏  |  浏览/下载：25/0  |  提交时间：2025/12/03 Semantics  Receivers  Generators  Feature extraction  Costs  Transmitters  Decoding  Data mining  Bandwidth  Vectors  Semantic encoder  Task-oriented communications  Relevance-based data selection and bandwidth allocation  Deep reinforcement learning
	OFDM-Based NOMA-Enhanced Coexistence of SemCom and BitCom System 期刊论文 IEEE WIRELESS COMMUNICATIONS LETTERS, 2025, 卷号: 14, 期号: 7, 页码: 2069-2073 作者:  Yu, Hanxiao;  Shi, Ningzhe;  Shi, Jinglin;  Guo, Jing;  Wang, Siqiang;  Fei, Zesong 收藏  |  浏览/下载：23/0  |  提交时间：2025/12/03 Antennas  Semantics  Fluids  Resource management  NOMA  Optimization  Heuristic algorithms  Fading channels  Uplink  Spectral efficiency  Semantic communication  non-orthogonal multiple access (NOMA)  fluid antenna  deep reinforcement learning (DRL)
	Safety in DRL-Based Congestion Control: A Framework Empowered by Expert Refinement 期刊论文 IEEE TRANSACTIONS ON NETWORKING, 2025, 页码: 16 作者:  Zhou, Jianer;  Pan, Zhiyuan;  Li, Zhenyu;  Tyson, Gareth;  Li, Weichao;  Qiu, Xinyi;  Pan, Heng;  Zhang, Xinyi;  Xie, Gaogang 收藏  |  浏览/下载：20/0  |  提交时间：2025/12/03 Convergence  Space exploration  Safety  Training  Prediction algorithms  Magnetosphere  Ion radiation effects  Adaptation models  Throughput  Technological innovation  Congestion control  machine learning  deep reinforcement learning  QUIC
	ReflexPilot: Startup-Aware Dependent Task Scheduling Based on Deep Reinforcement Learning for Edge-Cloud Collaborative Computing 期刊论文 IEEE TRANSACTIONS ON CLOUD COMPUTING, 2025, 卷号: 13, 期号: 2, 页码: 641-654 作者:  Zou, Wenhao;  Zhang, Zongshuai;  Wang, Nina;  Tian, Yu;  Tian, Lin 收藏  |  浏览/下载：21/0  |  提交时间：2025/12/03 Servers  Optimal scheduling  Collaboration  Cloud computing  Scheduling algorithms  Containers  Computer architecture  Computational modeling  Resource management  Training  Edge-cloud collaborative computing  deep reinforcement learning  dependent task scheduling  startup latency
	Reinforcement Learning Based Online Request Scheduling Framework for Workload-Adaptive Edge Deep Learning Inference 期刊论文 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 卷号: 23, 期号: 12, 页码: 13222-13239 作者:  Tan, Xinrui;  Li, Hongjia;  Xie, Xiaofei;  Guo, Lu;  Ansari, Nirwan;  Huang, Xueqing;  Wang, Liming;  Xu, Zhen;  Liu, Yang 收藏  |  浏览/下载：32/0  |  提交时间：2025/06/25 Deep learning  Computational modeling  Adaptation models  Task analysis  Processor scheduling  Schedules  Reinforcement learning  Deep learning inference serving systems  edge computing  efficient deep learning inference  reinforcement learning
	Deep Distributional Reinforcement Learning-Based Adaptive Routing With Guaranteed Delay Bounds 期刊论文 IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, 页码: 15 作者:  Liu, Jianmin;  Li, Dan;  Xu, Yongjun 收藏  |  浏览/下载：85/0  |  提交时间：2024/12/06 Deep distributional reinforcement learning  real-time QoS guarantees  adaptive routing  wireless multi-hop networks  Deep distributional reinforcement learning  real-time QoS guarantees  adaptive routing  wireless multi-hop networks
	Scheduling of Real-Time Wireless Flows: A Comparative Study of Centralized and Decentralized Reinforcement Learning Approaches 期刊论文 IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, 页码: 16 作者:  Wang, Qi;  Huang, Jianhui;  Xu, Yongjun 收藏  |  浏览/下载：48/0  |  提交时间：2024/12/06 Scheduling  timely-throughput  deep reinforcement learning  real-time wireless networks  distributed system
	UAV-Enabled Federated Learning in Dynamic Environments: Efficiency and Security Trade-Off 期刊论文 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 卷号: 73, 期号: 5, 页码: 6993-7006 作者:  Fan, Xiaokun;  Chen, Yali;  Liu, Min;  Sun, Sheng;  Liu, Zhuotao;  Xu, Ke;  Li, Zhongcheng 收藏  |  浏览/下载：51/0  |  提交时间：2024/12/06 Training  Security  Autonomous aerial vehicles  Energy consumption  Resource management  Data models  Computational modeling  Deep reinforcement learning  federated learning (FL)  physical layer security  resource allocation  unmanned aerial vehicle (UAV)