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
	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：1/0  |  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：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
	Reliable and Energy-Efficient Communications in Mobile Robotic Networks by Collaborative Beamforming 期刊论文 ACM TRANSACTIONS ON SENSOR NETWORKS, 2024, 卷号: 20, 期号: 5, 页码: 24 作者:  He, Min;  Chen, Yali;  Liu, Min;  Fan, Xiaokun;  Zhu, Yuchen 收藏  |  浏览/下载：2/0  |  提交时间：2024/12/06 Collaborative beamforming  distributed reinforcement learning  energy efficiency  mobile robotic networks  reliable communications
	FastTuning: Enabling Fast and Efficient Hyper-Parameter Tuning With Partitioning and Parallelism of Search Space 期刊论文 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2024, 卷号: 35, 期号: 7, 页码: 1174-1188 作者:  Li, Xiaqing;  Guo, Qi;  Zhang, Guangyan;  Ye, Siwei;  He, Guanhua;  Yao, Yiheng;  Zhang, Rui;  Hao, Yifan;  Du, Zidong;  Zheng, Weimin 收藏  |  浏览/下载：7/0  |  提交时间：2024/12/06 Deep learning  distributed hyper-parameter tuning (HPT) system  parallel computing
	Scheduling of Real-Time Wireless Flows: A Comparative Study of Centralized and Decentralized Reinforcement Learning Approaches 期刊论文 IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, 页码: 16 作者:  Wang, Qi;  Huang, Jianhui;  Xu, Yongjun 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Scheduling  timely-throughput  deep reinforcement learning  real-time wireless networks  distributed system
	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
	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：9/0  |  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：40/0  |  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