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
	Adaptive Perturbation for Adversarial Attack 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 8, 页码: 5663-5676 作者:  Yuan, Zheng;  Zhang, Jie;  Jiang, Zhaoyan;  Li, Liangliang;  Shan, Shiguang 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Perturbation methods  Iterative methods  Adaptation models  Generators  Closed box  Security  Training  Adversarial attack  transfer-based attack  adversarial example  adaptive perturbation
	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
	Mind the Gap: Open Set Domain Adaptation via Mutual-to-Separate Framework 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 6, 页码: 4159-4174 作者:  Chang, Dongliang;  Sain, Aneeshan;  Ma, Zhanyu;  Song, Yi-Zhe;  Wang, Ruiping;  Guo, Jun 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Picture archiving and communication systems  Training  Task analysis  Labeling  Adaptation models  Visualization  Information exchange  Domain adaptation  open set  mutual learning  transfer learning
	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
	SPFL: A Self-Purified Federated Learning Method Against Poisoning Attacks 期刊论文 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 卷号: 19, 页码: 6604-6619 作者:  Liu, Zizhen;  He, Weiyang;  Chang, Chip-Hong;  Ye, Jing;  Li, Huawei;  Li, Xiaowei 收藏  |  浏览/下载：2/0  |  提交时间：2024/12/06 Data models  Servers  Training  Hidden Markov models  Training data  Adaptation models  Security  Federated learning  poisoning attack  knowledge distillation  attention maps  deep neural network
	Fine-Grained Open-Set Deepfake Detection via Unsupervised Domain Adaptation 期刊论文 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 卷号: 19, 页码: 7536-7547 作者:  Zhou, Xinye;  Han, Hu;  Shan, Shiguang;  Chen, Xilin 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Deepfakes  Adaptation models  Feature extraction  Data models  Face recognition  Training  Faces  Deepfake detection  domain adaptation  unsupervised learning  fine-grained classification
	Domain-Aware Graph Network for Bridging Multi-Source Domain Adaptation 期刊论文 IEEE TRANSACTIONS ON MULTIMEDIA, 2024, 卷号: 26, 页码: 7210-7224 作者:  Yuan, Jin;  Hou, Feng;  Yang, Ying;  Zhang, Yang;  Shi, Zhongchao;  Geng, Xin;  Fan, Jianping;  He, Zhiqiang;  Rui, Yong 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Task analysis  Feature extraction  Graph neural networks  Adaptation models  Self-supervised learning  Multitasking  Image color analysis  Multi-source domain adaptation  self-supervised learning  graph neural network  real-world applications