中国科学院计算技术研究所机构知识库

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	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：1/0  |  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
	Personalized Federated Learning With Adaptive Batchnorm for Healthcare 期刊论文 IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 6, 页码: 915-925 作者:  Lu, Wang;  Wang, Jindong;  Chen, Yiqiang;  Qin, Xin;  Xu, Renjun;  Dimitriadis, Dimitrios;  Qin, Tao 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Medical services  Collaborative work  Data models  Adaptation models  Computational modeling  Machine learning  Data privacy  Distributed computing  federated learning  personalization  batch normalization  healthcare
	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：1/0  |  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
	Pedestrian Navigation Activity Recognition Based on Segmentation Transformer 期刊论文 IEEE INTERNET OF THINGS JOURNAL, 2024, 卷号: 11, 期号: 15, 页码: 26020-26032 作者:  Wang, Qu;  Tao, Zhi;  Ning, Jiahui;  Jiang, Zhuqing;  Guo, Liangliang;  Luo, Haiyong;  Wang, Haiying;  Men, Aidong;  Cheng, Xiaofei;  Zhang, Zhang 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Feature extraction  Pedestrians  Transformers  Hidden Markov models  Human activity recognition  Data mining  Artificial intelligence for IoT  dense sequence labeling  human activity recognition (HAR)  Internet of Things (IoT)  multiclass window problem  pedestrian navigation  pedestrian navigation
	A transportation Revitalization index prediction model based on Spatial-Temporal attention mechanism 期刊论文 ADVANCED ENGINEERING INFORMATICS, 2024, 卷号: 61, 页码: 17 作者:  Lv, Zhiqiang;  Ma, Zhaobin;  Xia, Fengqian;  Li, Jianbo 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 COVID-19  Transportation  Spatial-temporal model  Transportation revitalization index  Data mining  Data models
	Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 13 作者:  Liu, Qingxiang;  Sun, Sheng;  Liu, Min;  Wang, Yuwei;  Gao, Bo 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Predictive models  Forecasting  Servers  Correlation  Data models  Federated learning  Adaptation models  online learning  spatio-temporal correlation  traffic flow forecasting
	Modality Consistency-Guided Contrastive Learning for Wearable-Based Human Activity Recognition 期刊论文 IEEE INTERNET OF THINGS JOURNAL, 2024, 卷号: 11, 期号: 12, 页码: 21750-21762 作者:  Guo, Changru;  Zhang, Yingwei;  Chen, Yiqiang;  Xu, Chenyang;  Wang, Zhong 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Human activity recognition  Self-supervised learning  Task analysis  Data models  Time series analysis  Internet of Things  Face recognition  Contrastive learning (CL)  human activity recognition (HAR)  intermodality  intramodality  self-supervised
	DMGSTCN: Dynamic Multigraph Spatio-Temporal Convolution Network for Traffic Forecasting 期刊论文 IEEE INTERNET OF THINGS JOURNAL, 2024, 卷号: 11, 期号: 12, 页码: 22208-22219 作者:  Qin, Yanjun;  Tao, Xiaoming;  Fang, Yuchen;  Luo, Haiyong;  Zhao, Fang;  Wang, Chenxing 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Time series analysis  Convolution  Forecasting  Correlation  Task analysis  Roads  Predictive models  Graph convolution network (GCN)  spatial-temporal data  traffic forecasting
	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：1/0  |  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
	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)