中国科学院计算技术研究所机构知识库

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	DSparse: A Distributed Training Method for Edge Clusters Based on Sparse Update 期刊论文 JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2025, 卷号: 40, 期号: 3, 页码: 637-653 作者:  Peng, Xiao-Hui;  Sun, Yi-Xuan;  Zhang, Zheng-Hui;  Wang, Yi-Fan 收藏  |  浏览/下载：1/0  |  提交时间：2025/12/03 distributed training  edge computing  edge machine learning  sparse update  edge cluster
	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：35/0  |  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：30/0  |  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
	BIRD plus : Design of a Lightweight Communication Compressor for Resource-Constrained Distribution Learning Platforms 期刊论文 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2024, 卷号: 35, 期号: 11, 页码: 2193-2207 作者:  Wu, Donglei;  Yang, Weihao;  Zou, Xiangyu;  Feng, Hao;  Tao, Dingwen;  Li, Shiyi;  Xia, Wen;  Fang, Binxing 收藏  |  浏览/下载：58/0  |  提交时间：2024/12/06 Indexes  Costs  Computational modeling  Distance learning  Computer aided instruction  Training  Tensors  Distributed learning  communication compression  random sampling  neural network
	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：32/0  |  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
	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：27/0  |  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
	Sketch-fusion: A gradient compression method with multi-layer fusion for communication-efficient distributed training 期刊论文 JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2024, 卷号: 185, 页码: 10 作者:  Dai, Lingfei;  Gong, Luqi;  An, Zhulin;  Xu, Yongjun;  Diao, Boyu 收藏  |  浏览/下载：37/0  |  提交时间：2024/05/20 Gradient compression  Multi-layer fusion  Distributed stochastic gradient descent  Deep learning training
	An Accurate and Efficient Large-Scale Regression Method Through Best Friend Clustering 期刊论文 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022, 卷号: 33, 期号: 11, 页码: 3129-3140 作者:  Li, Kun;  Yuan, Liang;  Zhang, Yunquan;  Chen, Gongwei 收藏  |  浏览/下载：74/0  |  提交时间：2022/12/07 Clustering algorithms  Training  Mathematical models  Computational modeling  Libraries  Kernel  Support vector machines  Distributed machine learning  scalable algorithm  large-scale clustering  parallel regression
	Fast and accurate variable batch size convolution neural network training on large scale distributed systems 期刊论文 CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2022, 页码: 26 作者:  Hu, Zhongzhe;  Xiao, Junmin;  Sun, Ninghui;  Tan, Guangming 收藏  |  浏览/下载：80/0  |  提交时间：2022/12/07 deep learning  distributed computing  ImageNet-1K  large-batch training  synchronous SGD
	Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6487-6501 作者:  Zhu, Yao;  Chen, Yuefeng;  Li, Xiaodan;  Chen, Kejiang;  He, Yuan;  Tian, Xiang;  Zheng, Bolun;  Chen, Yaowu;  Huang, Qingming 收藏  |  浏览/下载：45/0  |  提交时间：2023/07/12 Data models  Perturbation methods  Iterative methods  Training  Distributed databases  Predictive models  Neural networks  Adversarial transferability  adversarial attack  black-box attack