中国科学院计算技术研究所机构知识库

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	Exploiting user comments for early detection of fake news prior to users' commenting 期刊论文 FRONTIERS OF COMPUTER SCIENCE, 2025, 卷号: 19, 期号: 10, 页码: 13 作者:  Nan, Qiong;  Sheng, Qiang;  Cao, Juan;  Zhu, Yongchun;  Wang, Danding;  Yang, Guang;  Li, Jintao 收藏  |  浏览/下载：4/0  |  提交时间：2025/06/25 fake news detection  knowledge distillation  early detection
	Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data 期刊论文 IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 6, 页码: 789-800 作者:  He, Yuting;  Chen, Yiqiang;  Yang, XiaoDong;  Yu, Hanchao;  Huang, Yi-Hua;  Gu, Yang 收藏  |  浏览/下载：16/0  |  提交时间：2024/12/06 Data models  Training  Servers  Collaborative work  Adaptation models  Convergence  Feature extraction  Federated learning  knowledge distillation  non-identically distributed  deep learning  catastrophic forgetting
	Toward Generalized Multistage Clustering: Multiview Self-Distillation 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 14 作者:  Wang, Jiatai;  Xu, Zhiwei;  Wang, Xin;  Li, Tao 收藏  |  浏览/下载：9/0  |  提交时间：2025/06/25 Semantics  Feature extraction  Contrastive learning  Mutual information  Clustering methods  Representation learning  Computational modeling  Training  Knowledge engineering  Predictive models  Hierarchical contrastive learning  multistage clustering  multiview self-distillation  mutual information between views
	FedCache: A Knowledge Cache-Driven Federated Learning Architecture for Personalized Edge Intelligence 期刊论文 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 卷号: 23, 期号: 10, 页码: 9368-9382 作者:  Wu, Zhiyuan;  Sun, Sheng;  Wang, Yuwei;  Liu, Min;  Xu, Ke;  Wang, Wen;  Jiang, Xuefeng;  Gao, Bo;  Lu, Jinda 收藏  |  浏览/下载：19/0  |  提交时间：2024/12/06 Computer architecture  Training  Servers  Computational modeling  Data models  Adaptation models  Performance evaluation  Distributed architecture  edge computing  personalized federated learning  knowledge distillation  communication efficiency
	Open-category referring expression comprehension via multi-modal knowledge transfer 期刊论文 NEUROCOMPUTING, 2024, 卷号: 598, 页码: 10 作者:  Mi, Wenyu;  Wang, Jianji;  Zhuang, Fuzhen;  An, Zhulin;  Guo, Wei 收藏  |  浏览/下载：2/0  |  提交时间：2025/06/25 Referring expression comprehension  CLIP  Open-category  Knowledge distillation
	PDD: Pruning Neural Networks During Knowledge Distillation 期刊论文 COGNITIVE COMPUTATION, 2024, 页码: 11 作者:  Dan, Xi;  Yang, Wenjie;  Zhang, Fuyan;  Zhou, Yihang;  Yu, Zhuojun;  Qiu, Zhen;  Zhao, Boyuan;  Dong, Zeyu;  Huang, Libo;  Yang, Chuanguang 收藏  |  浏览/下载：19/0  |  提交时间：2024/12/06 Knowledge distillation  Model pruning  Model compression
	An adaptive joint optimization framework for pruning and quantization 期刊论文 INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2024, 页码: 17 作者:  Li, Xiaohai;  Yang, Xiaodong;  Zhang, Yingwei;  Yang, Jianrong;  Chen, Yiqiang 收藏  |  浏览/下载：23/0  |  提交时间：2024/12/06 Model compression  Network pruning  Quantization  Mutual learning  Multi-teacher knowledge distillation
	FedICT: Federated Multi-Task Distillation for Multi-Access Edge Computing 期刊论文 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2024, 卷号: 35, 期号: 6, 页码: 952-966 作者:  Wu, Zhiyuan;  Sun, Sheng;  Wang, Yuwei;  Liu, Min;  Pan, Quyang;  Jiang, Xuefeng;  Gao, Bo 收藏  |  浏览/下载：16/0  |  提交时间：2024/12/06 Computational modeling  Data models  Training  Servers  Multitasking  Adaptation models  Optimization  Distributed optimization  federated learning  knowledge distillation  multi-access edge computing  multi-task learning
	Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation 期刊论文 ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2024, 卷号: 15, 期号: 2, 页码: 34 作者:  Wu, Zhiyuan;  Sun, Sheng;  Wang, Yuwei;  Liu, Min;  Pan, Quyang;  Zhang, Junbo;  Li, Zeju;  Liu, Qingxiang 收藏  |  浏览/下载：19/0  |  提交时间：2024/12/06 Federated learning  knowledge distillation  proxy-data-free  model heterogeneity
	Knowledge Distillation for Travel Time Estimation 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 12 作者:  Zhang, Haichao;  Zhao, Fang;  Wang, Chenxing;  Luo, Haiyong;  Xiong, Haoyu;  Fang, Yuchen 收藏  |  浏览/下载：27/0  |  提交时间：2024/05/20 Computational modeling  Trajectory  Roads  Global Positioning System  Predictive models  Estimation  Context modeling  Spatial-travel time estimation  temporal data mining  knowledge distillation  deep learning