中国科学院计算技术研究所机构知识库

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	Peak-controlled logits poisoning attack in federated distillation 期刊论文 DISCOVER COMPUTING, 2025, 卷号: 28, 期号: 1, 页码: 18 作者:  Tang, Yuhan;  Wu, Zhiyuan;  Gao, Bo;  Wen, Tian;  Wang, Yuwei;  Sun, Sheng 收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03 Federated learning  Knowledge distillation  Knowledge transfer  Poisoning attack  Misleading attack
	FedSCOPE: A Comprehensive Evaluation Framework for Federated Learning in Human-Centered Social Computing 期刊论文 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2025, 页码: 16 作者:  Li, Yanli;  Li, Yuqi;  Zhou, Yanan;  Zhang, Yuning;  Yang, Nan;  Yuan, Dong;  Ding, Weiping 收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03 Evaluation metric  federated learning (FL)  model selection  social computing
	Burst-Sensitive Traffic Forecast via Multi-Property Personalized Fusion in Federated Learning 期刊论文 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2025, 卷号: 24, 期号: 7, 页码: 5598-5614 作者:  Xue, Jingjing;  Sun, Sheng;  Liu, Min;  Wang, Yuwei;  Meng, Xuying;  Wang, Jingyuan;  Zhang, JunBo;  Xu, Ke 收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03 Predictive models  Forecasting  Data models  Market research  Fluctuations  Computational modeling  Training  Telecommunication traffic  Adaptation models  Mathematical models  Network traffic forecast  federated learning (FL)  heterogeneous data  multi-scale representation  personalized fusion
	Ten Challenging Problems in Federated Foundation Models 期刊论文 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2025, 卷号: 37, 期号: 7, 页码: 4314-4337 作者:  Fan, Tao;  Gu, Hanlin;  Cao, Xuemei;  Chan, Chee Seng;  Chen, Qian;  Chen, Yiqiang;  Feng, Yihui;  Gu, Yang;  Geng, Jiaxiang;  Luo, Bing;  Liu, Shuoling;  Ong, Win Kent;  Ren, Chao;  Shao, Jiaqi;  Sun, Chuan;  Tang, Xiaoli;  Tae, Hong Xi;  Tong, Yongxin;  Wei, Shuyue;  Wu, Fan;  Xi, Wei;  Xu, Mingcong;  Yang, He;  Yang, Xin;  Yan, Jiangpeng;  Yu, Hao;  Yu, Han;  Zhang, Teng;  Zhang, Yifei;  Zhang, Xiaojin;  Zheng, Zhenzhe;  Fan, Lixin;  Yang, Qiang 收藏  |  浏览/下载：6/0  |  提交时间：2025/12/03 Frequency modulation  Foundation models  Privacy  Optimization  Adaptation models  Watermarking  Knowledge transfer  Training  Fans  Data privacy  Federated foundation models (FedFMs)  federated learning  foundation models  large language models  privacy-preserving Ai
	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：14/0  |  提交时间：2025/06/25 Human activity recognition  Federated learning  Label noise  Data augmentation
	Impact Analysis of Delayed Updates for Mobile Decentralized Federated Learning: A Delay-Tolerant Training Strategy for Real-World Edge Intelligence 期刊论文 JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2025, 卷号: 41, 期号: 3, 页码: 627-644 作者:  Zeng, Yong;  Liu, Siyuan;  Xu, Zhiwei;  Tian, Jie 收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03 edge intelligence  decentralized federated learning  theoretical bound for delayed updates  delay-tolerant decentralized training
	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：17/0  |  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：38/0  |  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：16/0  |  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：34/0  |  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