中国科学院计算技术研究所机构知识库

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	FedDSHAR: A dual-strategy federated learning approach for human activity recognition amid noise label user 期刊论文 FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2025, 卷号: 166, 页码: 11 作者:  Lin, Ziqian;  Jiang, Xuefeng;  Zhang, Kun;  Fan, Chongjun;  Liu, Yaya 收藏  |  浏览/下载：3/0  |  提交时间：2025/06/25 Human activity recognition  Federated learning  Label noise  Data augmentation
	FedCRAC: Improving Federated Classification Performance on Long-Tailed Data via Classifier Representation Adjustment and Calibration 期刊论文 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2025, 卷号: 24, 期号: 1, 页码: 482-499 作者:  Li, Xujing;  Sun, Sheng;  Liu, Min;  Ren, Ju;  Jiang, Xuefeng;  He, Tianliu 收藏  |  浏览/下载：0/0  |  提交时间：2025/06/25 Tail  Data models  Training  Computational modeling  Servers  Accuracy  Feature extraction  Data heterogeneity  federated learning  long-tailed data  representation alignment
	Enhancing Federated Learning Robustness Using Locally Benignity-Assessable Bayesian Dropout 期刊论文 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2025, 卷号: 20, 页码: 2464-2479 作者:  Xue, Jingjing;  Sun, Sheng;  Liu, Min;  Li, Qi;  Xu, Ke 收藏  |  浏览/下载：5/0  |  提交时间：2025/06/25 Bayes methods  Training  Servers  Data models  Robustness  Distributed databases  Uplink  Convergence  Computational modeling  Recurrent neural networks  Federated learning  Byzantine attack  dropout defense  robust aggregation
	REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 16 作者:  Liu, Qingxiang;  Sun, Sheng;  Liang, Yuxuan;  Xu, Xiaolong;  Liu, Min;  Bilal, Muhammad;  Wang, Yuwei;  Li, Xujing;  Zheng, Yu 收藏  |  浏览/下载：3/0  |  提交时间：2025/06/25 Predictive models  Concept drift  Correlation  Forecasting  Computational modeling  Data models  Optimization  Adaptation models  Urban areas  Training  Traffic flow forecasting  federated learning  concept drift  online learning  graph convolution
	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
	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：17/0  |  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
	Staleness-Controlled Asynchronous Federated Learning: Accuracy and Efficiency Tradeoff 期刊论文 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 卷号: 23, 期号: 12, 页码: 12621-12634 作者:  Sun, Sheng;  Zhang, Zengqi;  Pan, Quyang;  Liu, Min;  Wang, Yuwei;  He, Tianliu;  Chen, Yali;  Wu, Zhiyuan 收藏  |  浏览/下载：2/0  |  提交时间：2025/06/25 Asynchronous learning  convergence efficiency  federated learning  lyapunov optimization  model accuracy  Asynchronous learning  convergence efficiency  federated learning  lyapunov optimization  model accuracy
	Age of Information Based Client Selection for Wireless Federated Learning With Diversified Learning Capabilities 期刊论文 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 卷号: 23, 期号: 12, 页码: 14934-14945 作者:  Dong, Liran;  Zhou, Yiqing;  Liu, Ling;  Qi, Yanli;  Zhang, Yu 收藏  |  浏览/下载：2/0  |  提交时间：2025/06/25 Training  Computational modeling  Servers  Data models  Wireless communication  Mobile computing  Accuracy  Federated learning (FL)  age of information (AoI)  client selection  fairness scheduling
	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
	FedBone: Towards Large-Scale Federated Multi-Task Learning 期刊论文 JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2024, 卷号: 39, 期号: 5, 页码: 1040-1057 作者:  Chen, Yi-Qiang;  Zhang, Teng;  Jiang, Xin-Long;  Chen, Qian;  Gao, Chen-Long;  Huang, Wu-Liang 收藏  |  浏览/下载：6/0  |  提交时间：2025/06/25 federated learning  multi-task learning  split learning  heterogeneous task