中国科学院计算技术研究所机构知识库

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	FEMASF: An SVD-Based Algorithm for Accurately Estimating the Mounting Angle and Scale Factor 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2025, 卷号: 26, 期号: 4, 页码: 4504-4516 作者:  Ning, Bokun;  Luo, Haiyong;  Bao, Linfeng;  Zhao, Fang;  Wu, Fan 收藏  |  浏览/下载：2/0  |  提交时间：2025/06/25 Estimation  Accuracy  Parameter estimation  Convergence  Odometers  Heuristic algorithms  Navigation  Global navigation satellite system  Kalman filters  Closed-form solutions  GNSS/INS positioning  ODO/NHC  IMU mounting angle  odometer scale factor  singular value decomposition(SVD)  Sage-Husa
	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
	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：17/0  |  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
	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
	An Automatic Neural Network Architecture-and-Quantization Joint Optimization Framework for Efficient Model Inference 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 5, 页码: 1497-1510 作者:  Liu, Lian;  Wang, Ying;  Zhao, Xiandong;  Chen, Weiwei;  Li, Huawei;  Li, Xiaowei;  Han, Yinhe 收藏  |  浏览/下载：52/0  |  提交时间：2024/12/06 Optimization  Quantization (signal)  Computer architecture  Training  Computational modeling  Integrated circuit modeling  Convergence  Automatic joint optimization  efficient model inference  network quantization  neural architecture search (NAS)
	Double Precision is not Necessary for LSQR for Solving Discrete Linear Ill-Posed Problems 期刊论文 JOURNAL OF SCIENTIFIC COMPUTING, 2024, 卷号: 98, 期号: 3, 页码: 30 作者:  Li, Haibo 收藏  |  浏览/下载：23/0  |  提交时间：2024/05/20 Mixed precision  Linear ill-posed problem  Regularization  LSQR  Roundoff unit  Semi-convergence
	THE JOINT BIDIAGONALIZATION OF A MATRIX PAIR WITH INACCURATE INNER ITERATIONS 期刊论文 SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 2024, 卷号: 45, 期号: 1, 页码: 232-259 作者:  Li, Haibo 收藏  |  浏览/下载：23/0  |  提交时间：2024/05/20 joint bidiagonalization  GSVD  inner iteration  stopping tolerance  Lanczos bidiag- onalization  convergence and accuracy
	How to Tame Mobility in Federated Learning Over Mobile Networks? 期刊论文 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2023, 卷号: 22, 期号: 12, 页码: 9640-9657 作者:  Peng, Yan;  Tang, Xiaogang;  Zhou, Yiqing;  Hou, Yuenan;  Li, Jintao;  Qi, Yanli;  Liu, Ling;  Lin, Hai 收藏  |  浏览/下载：43/0  |  提交时间：2024/05/20 Federated learning  user mobility  resource allocation  convergence analysis
	On Designing Learning Control Scheme for Multilayer Supply Chain Networks With Constraints 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 9 作者:  Xiong, Wenjun;  Liu, Chen;  Wen, Guanghui;  Qiu, Jianlong;  Xu, Yongjun 收藏  |  浏览/下载：38/0  |  提交时间：2022/12/07 Nonhomogeneous media  Convergence  Supply chains  Uncertainty  Stability criteria  Numerical stability  Safety  Constraints  fast convergence speed  learning control scheme  multilayer supply chain networks (SCNs)
	Attention-guided transformation-invariant attack for black-box adversarial examples 期刊论文 INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 页码: 24 作者:  Zhu, Jiaqi;  Dai, Feng;  Yu, Lingyun;  Xie, Hongtao;  Wang, Lidong;  Wu, Bo;  Zhang, Yongdong 收藏  |  浏览/下载：42/0  |  提交时间：2022/12/07 adversarial examples  attention  media convergence  security  transformation-invariant