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
	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
	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)
	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：1/0  |  提交时间：2024/12/06 Federated learning  knowledge distillation  proxy-data-free  model heterogeneity
	RTIFed: A Reputation based Triple-step Incentive mechanism for energy-aware Federated learning over battery-constricted devices 期刊论文 COMPUTER NETWORKS, 2024, 卷号: 241, 页码: 14 作者:  Wen, Tian;  Zhang, Hanqing;  Zhang, Han;  Wu, Huixin;  Wang, Danxin;  Liu, Xiuwen;  Zhang, Weishan;  Wang, Yuwei;  Cao, Shaohua 收藏  |  浏览/下载：18/0  |  提交时间：2024/05/20 Federated learning  Incentive mechanism  Energy efficiency  Client activation  Stackelberg game
	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
	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：21/0  |  提交时间：2024/05/20 Federated learning  user mobility  resource allocation  convergence analysis