中国科学院计算技术研究所机构知识库

浏览/检索结果: 共4条，第1-4条

帮助

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序WOS被引频次升序WOS被引频次降序提交时间升序提交时间降序期刊影响因子升序期刊影响因子降序题名升序题名降序发表日期升序发表日期降序
	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：2/0  |  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)
	Federated Data Quality Assessment Approach: Robust Learning With Mixed Label Noise 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15 作者:  Zeng, Bixiao;  Yang, Xiaodong;  Chen, Yiqiang;  Yu, Hanchao;  Hu, Chunyu;  Zhang, Yingwei 收藏  |  浏览/下载：16/0  |  提交时间：2023/12/04 Noise measurement  Servers  Task analysis  Adaptation models  Data models  Data integrity  Computers  Data quality assessment  federated learning (FL)  noise-robust algorithm
	MetaFed: Federated Learning Among Federations With Cyclic Knowledge Distillation for Personalized Healthcare 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 12 作者:  Chen, Yiqiang;  Lu, Wang;  Qin, Xin;  Wang, Jindong;  Xie, Xing 收藏  |  浏览/下载：14/0  |  提交时间：2023/12/04 Federated learning (FL)  healthcare  knowledge distillation (KD)  personalization  transfer learning
	Optimizing Training Efficiency and Cost of Hierarchical Federated Learning in Heterogeneous Mobile-Edge Cloud Computing 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 5, 页码: 1518-1531 作者:  Cui, Yangguang;  Cao, Kun;  Zhou, Junlong;  Wei, Tongquan 收藏  |  浏览/下载：14/0  |  提交时间：2023/12/04 Training  Servers  Cloud computing  Delays  Costs  Computational modeling  Prototypes  Device frequency determination  federated learning (FL)  high efficiency  low cost  mobile-edge cloud computing (MECC)  user selection