NSTL国家科技图书文献中心

1. PDC-FRS: Privacy-Preserving Data Contribution for Federated Recommender System NSTL国家科技图书文献中心

Chaoqun Yang | Wei Yuan ... - 《Advanced Data Mining and Applications,Part VI》 - International Conference on Advanced Data Mining and Applications - 2025, - 65～79 - 共15页

摘要：Federated recommender systems (FedRecs) have emerged as a popular research direction for protecting users' privacy in on-device recommendations. In FedRecs, users keep their data locally and only cont...

关键词： Recommender system | Federated learning | Privacy protection

2. PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System NSTL国家科技图书文献中心

WEI YUAN | CHAOQUN YANG ... - 《ACM transactions on information systems》 - 2025,43(2) - 52.1～52.24 - 共24页

摘要：Sequential recommender systems, as a specialized branch of recommender systems that can capture users dynamic preferences for more accurate and timely recommendations, have made significant progress. ...

关键词： Sequential Recommendation | Federated Learning | Contrastive Learning | Model Intellectual Property

3. Latency Optimization in UAV-Assisted Mobile Edge Computing Empowered by Caching Mechanisms NSTL国家科技图书文献中心

Heng Zhang | Zhemin Sun ... - 《IEEE journal on miniaturization for air and space systems》 - 2024,5(4) - 228～236 - 共9页

摘要：Mobile edge computing (MEC) revolutionizes data processing by shifting it from the network core to the edge, significantly reducing latency and ensuring Quality of Service. Integrating the agile and f...

关键词： Autonomous aerial vehicles | Resource management | Optimization | Deep reinforcement learning | Multi-access edge computing | Numerical simulation

4. CAAFL: A Client-Level Adaptive Acceletative Federated Learning Optimization Algorithm for Heterogeneous Data Scenarios NSTL国家科技图书文献中心

Ruibin Niu | Yifan Wang ... - 《2024 36th Chinese Control and Decision Conference,[v.1]》 - Chinese Control and Decision Conference - 2024, - 3859～3864 - 共6页

摘要：As an emerging distributed machine learning framework, federated learning has attracted growing attention due to its privacy-preserving capabilities. However, in practical applications, the data from ...

关键词： Adaptation models | Costs | Federated learning | Heuristic algorithms | Data models | Servers | Task analysis

5. Real-World Experiments on Acoustic Detection of Small UAVs NSTL国家科技图书文献中心

Mengdie Xu | Xiaofeng Wang ... - 《Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems, Vol. 4: International Conference on Autonomous Unmanned Systems (ICAUS 2023), 2023》 - International Conference on Autonomous Unmanned Systems - 2024, - 236～242 - 共7页

摘要：This paper presents the real-world experiments on the acoustic detection of small unmanned aerial vehicles (UAVs). To achieve the accurate detection of the small UAVs, a series of data processing step...

关键词： Acoustic detection | amateur drone | harmonics extraction | support vector machine | unmanned aerial vehicles

6. Detecting Multiple Attacks in ISAC-CPS Via PMBM Filter NSTL国家科技图书文献中心

Jiayi Gu | Jiangrun Cai ... - 《2024 IEEE/CIC International Conference on Communications in China》 - IEEE/CIC International Conference on Communications in China - 2024, - 980～984 - 共5页

摘要：Recently, with the in-depth research on 6G technology, it has been discovered that integrated sensing and communication (ISAC) can greatly enhance the communication capabilities of cyber-physical syst...

关键词： Radio frequency | 6G mobile communication | Accuracy | Simulation | Cyber-physical systems | Integrated sensing and communication | Filtering theory

7. A Distributed Simulation-to-Reality Transfer Framework for Multi-agent Reinforcement Learning NSTL国家科技图书文献中心

Zhongren Cui | Chaoqun Yang ... - 《2024 36th Chinese Control and Decision Conference,[v.1]》 - Chinese Control and Decision Conference - 2024, - 3807～3812 - 共6页

摘要：Recent works have demonstrated the applications of multi-agent reinforcement learning (MARL) algorithms in many fields, including autonomous driving, finance, and games. However, how to transfer the M...

关键词： Collaboration | Finance | Reinforcement learning | Games | Task analysis | Autonomous vehicles | Multi-agent systems

8. CBMeMBer Filter based Resolvable Group Target Tracking via Graph Theory and Leader-Follower Model NSTL国家科技图书文献中心

Xinchao Zhu | Chaoqun Yang ... - 《2024 27th International Conference on Information Fusion》 - International Conference on Information Fusion - 2024, - 1～7 - 共7页

摘要：Resolvable group target tracking is of great challenge due to the complex motion interaction between group targets, which leads to tracking performance degradation. To solve this problem, a cardinalit...

关键词： Degradation | Target tracking | Accuracy | Simulation | Information filters | Filtering theory | Graph theory | Mathematical models | Standards

9. Distributed Cooperative Guidance Law for UAV Swarm Based on Reinforcement Learning NSTL国家科技图书文献中心

Zhonghao Wu | Chaoqun Yang ... - 《2024 36th Chinese Control and Decision Conference,[v.1]》 - Chinese Control and Decision Conference - 2024, - 3752～3757 - 共6页

摘要：We propose a distributed cooperative guidance law for UAV swarms based on the multi-agent deep deterministic policy gradient (MADDPG) algorithm. Specifically, we propose a cooperative guidance law bas...

关键词： Collaboration | Autonomous aerial vehicles | Deep reinforcement learning | Control systems | Mixers

10. IMM-Based PMBM Filter for Maneuvering Extended Target Tracking NSTL国家科技图书文献中心

Jiayi Gu | Jiaqi Shi ... - 《2024 Sensor Data Fusion: Trends,Solutions,Applications》 - Conference on Sensor Data Fusion: Trends,Solutions,Applications - 2024, - 1～7 - 共7页

摘要：In the real-world scenarios of maneuvering extended target tracking (METT), targets always exhibit complex motion patterns, making it challenging for traditional tracking methods with single motion mo...

摘要：Federated recommender systems (FedRecs) have emerged as a popular research direction for protecting users' privacy in on-device recommendations. In FedRecs, users keep their data locally and only cont...

关键词： Recommender system | Federated learning | Privacy protection

摘要：Sequential recommender systems, as a specialized branch of recommender systems that can capture users dynamic preferences for more accurate and timely recommendations, have made significant progress. ...

关键词： Sequential Recommendation | Federated Learning | Contrastive Learning | Model Intellectual Property

摘要：Mobile edge computing (MEC) revolutionizes data processing by shifting it from the network core to the edge, significantly reducing latency and ensuring Quality of Service. Integrating the agile and f...

关键词： Autonomous aerial vehicles | Resource management | Optimization | Deep reinforcement learning | Multi-access edge computing | Numerical simulation

摘要：As an emerging distributed machine learning framework, federated learning has attracted growing attention due to its privacy-preserving capabilities. However, in practical applications, the data from ...

关键词： Adaptation models | Costs | Federated learning | Heuristic algorithms | Data models | Servers | Task analysis

摘要：This paper presents the real-world experiments on the acoustic detection of small unmanned aerial vehicles (UAVs). To achieve the accurate detection of the small UAVs, a series of data processing step...

关键词： Acoustic detection | amateur drone | harmonics extraction | support vector machine | unmanned aerial vehicles

摘要：Recently, with the in-depth research on 6G technology, it has been discovered that integrated sensing and communication (ISAC) can greatly enhance the communication capabilities of cyber-physical syst...

关键词： Radio frequency | 6G mobile communication | Accuracy | Simulation | Cyber-physical systems | Integrated sensing and communication | Filtering theory

摘要：Recent works have demonstrated the applications of multi-agent reinforcement learning (MARL) algorithms in many fields, including autonomous driving, finance, and games. However, how to transfer the M...

关键词： Collaboration | Finance | Reinforcement learning | Games | Task analysis | Autonomous vehicles | Multi-agent systems

摘要：Resolvable group target tracking is of great challenge due to the complex motion interaction between group targets, which leads to tracking performance degradation. To solve this problem, a cardinalit...

关键词： Degradation | Target tracking | Accuracy | Simulation | Information filters | Filtering theory | Graph theory | Mathematical models | Standards

摘要：We propose a distributed cooperative guidance law for UAV swarms based on the multi-agent deep deterministic policy gradient (MADDPG) algorithm. Specifically, we propose a cooperative guidance law bas...

关键词： Collaboration | Autonomous aerial vehicles | Deep reinforcement learning | Control systems | Mixers

摘要：In the real-world scenarios of maneuvering extended target tracking (METT), targets always exhibit complex motion patterns, making it challenging for traditional tracking methods with single motion mo...

关键词： Target tracking | Accuracy | Estimation | Data integration | Market research | Data models | Trajectory

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