机构

• 计算技术研究所 [7]
• 地质与地球物理研究所 [2]
• 自动化研究所 [2]
• 数学与系统科学研究院 [1]
• 沈阳自动化研究所 [1]

采集方式

• OAI收割 [13]

内容类型

• 期刊论文 [12]
• 会议论文 [1]

发表日期

• 2026 [1]
• 2024 [5]
• 2022 [4]
• 2021 [2]
• 2019 [1]

学科主题

筛选

浏览/检索结果: 共13条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序作者升序作者降序 DeFT: Relaxing data dependencies for efficient communication scheduling in distributed training 期刊论文  OAI收割 FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2026, 卷号: 175, 页码: 15 作者:  Meng, Lin;  Sun, Yuzhong;  Zhu, Jie   |  收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03 Distributed deep learning  Communication scheduling  Data parallelism   Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：44/0  |  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   FastTuning: Enabling Fast and Efficient Hyper-Parameter Tuning With Partitioning and Parallelism of Search Space 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：55/0  |  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  OAI收割 IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, 页码: 16 作者:  Wang, Qi;  Huang, Jianhui;  Xu, Yongjun   |  收藏  |  浏览/下载：40/0  |  提交时间：2024/12/06 Scheduling  timely-throughput  deep reinforcement learning  real-time wireless networks  distributed system   Sketch-fusion: A gradient compression method with multi-layer fusion for communication-efficient distributed training 期刊论文  OAI收割 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：81/0  |  提交时间：2024/05/20 Gradient compression  Multi-layer fusion  Distributed stochastic gradient descent  Deep learning training   Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox 期刊论文  OAI收割 Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 411-430 作者:  Qiyue Yin;  Tongtong Yu;  Shengqi Shen;  Jun Yang;  Meijing Zhao   |  收藏  |  浏览/下载：50/0  |  提交时间：2024/05/23 Deep reinforcement learning, distributed machine learning, self-play, population-play, toolbox   A deep learning approach for signal identification in the fluid injection process during hydraulic fracturing using distributed acoustic sensing data 期刊论文  OAI收割 FRONTIERS IN EARTH SCIENCE, 2022, 卷号: 10, 页码: 9 作者:  Zheng, Yikang;  Wang, Yibo;  Liang, Xing;  Xue, Qingfeng;  Liang, Enmao   |  收藏  |  浏览/下载：69/0  |  提交时间：2023/04/03 distributed acoustic sensing  deep learning  signal identification  convolutional neural networks  bidirectional long short-term memory   Siamese network based noise elimination of artificial seismic data recorded by distributed fiber-optic acoustic sensing 期刊论文  OAI收割 CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2022, 卷号: 65, 期号: 9, 页码: 3599-3609 作者:  Shao Jie;  Wang YiBo;  Liang Xing;  Xue QingFeng;  Liang EnMao   |  收藏  |  浏览/下载：63/0  |  提交时间：2023/04/03 Siamese network  Self-supervised deep learning  Distributed fiber-optic acoustic sensing  Random noise suppression   Fast and accurate variable batch size convolution neural network training on large scale distributed systems 期刊论文  OAI收割 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：64/0  |  提交时间：2022/12/07 deep learning  distributed computing  ImageNet-1K  large-batch training  synchronous SGD   A Weighted Average Consensus Approach for Decentralized Federated Learning 期刊论文  OAI收割 Machine Intelligence Research, 2022, 卷号: 19, 期号: 4, 页码: 319-330 作者:  Alessandro Giuseppi;  Sabato Manfredi;  Antonio Pietrabissa   |  收藏  |  浏览/下载：22/0  |  提交时间：2024/04/23 Federated learning (FedL)  deep learning  federated averaging (FedAvg)  machine learning (ML)  artificial intelligence  discrete-time consensus  distributed systems