机构

• 重庆绿色智能技术研究... [7]
• 自动化研究所 [6]
• 数学与系统科学研究院 [3]
• 光电技术研究所 [3]
• 计算技术研究所 [2]
• 合肥物质科学研究院 [1]
• 更多

采集方式

• OAI收割 [23]

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浏览/检索结果: 共23条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 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：19/0  |  提交时间：2024/05/20 Gradient compression  Multi-layer fusion  Distributed stochastic gradient descent  Deep learning training   A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices 期刊论文  OAI收割 IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 3, 页码: 784-794 作者:  Yuan, Ye;  He, Qiang;  Luo, Xin;  Shang, Mingsheng   |  收藏  |  浏览/下载：46/0  |  提交时间：2022/08/22 Computational modeling  Sparse matrices  Big Data  Data models  Stochastic processes  Training  Software algorithms  Big data  latent factor analysis  generally multilayered structure  deep forest  multilayered extreme learning machine  randomized-learning  high-dimensional and sparse matrix  stochastic gradient descent  randomized model   Large-Scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems 期刊论文  OAI收割 IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 2, 页码: 420-431 作者:  Shi, Xiaoyu;  He, Qiang;  Luo, Xin;  Bai, Yanan;  Shang, Mingsheng   |  收藏  |  浏览/下载：33/0  |  提交时间：2022/08/22 Recommender systems  Training  Optimization  Big Data  Cloud computing  Computational modeling  Sparse matrices  Recommender system  latent factor analysis  high-dimensional and sparse matrices  alternative stochastic gradient descent  distributed computing   Adjusted stochastic gradient descent for latent factor analysis 期刊论文  OAI收割 INFORMATION SCIENCES, 2022, 卷号: 588, 页码: 196-213 作者:  Li, Qing;  Xiong, Diwen;  Shang, Mingsheng   |  收藏  |  浏览/下载：33/0  |  提交时间：2022/08/22 Big data analysis  High-dimensional and incomplete matrix  Stochastic gradient descent  Latent factor analysis  Gradient adjustment  Adaptive model  Particle swarm optimization  Local optima   Towards Better Generalization of Deep Neural Networks via Non-Typicality Sampling Scheme 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 11 作者:  Peng, Xinyu;  Wang, Fei-Yue;  Li, Li   |  收藏  |  浏览/下载：31/0  |  提交时间：2022/06/06 Training  Estimation  Deep learning  Standards  Optimization  Noise measurement  Convergence  Deep learning  generalization performance  nontypicality sampling scheme  stochastic gradient descent (SGD)   A Primal-Dual SGD Algorithm for Distributed Nonconvex Optimization 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 812-833 作者:  Xinlei Yi;  Shengjun Zhang;  Tao Yang;  Tianyou Chai;  Karl Henrik Johansson   |  收藏  |  浏览/下载：25/0  |  提交时间：2022/04/24 Distributed nonconvex optimization  linear speedup  Polyak-Łojasiewicz (P-Ł) condition  primal-dual algorithm  stochastic gradient descent   Drill the Cork of Information Bottleneck by Inputting the Most Important Data 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13 作者:  Peng, Xinyu;  Zhang, Jiawei;  Wang, Fei-Yue;  Li, Li   |  收藏  |  浏览/下载：16/0  |  提交时间：2022/01/27 Training  Signal to noise ratio  Mutual information  Optimization  Convergence  Deep learning  Tools  Information bottleneck (IB) theory  machine learning  minibatch stochastic gradient descent (SGD)  typicality sampling   A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model 期刊论文  OAI收割 NEUROCOMPUTING, 2021, 卷号: 427, 页码: 29-39 作者:  Li, Jinli;  Yuan, Ye;  Ruan, Tao;  Chen, Jia;  Luo, Xin   |  收藏  |  浏览/下载：23/0  |  提交时间：2021/03/17 Big data  Stochastic gradient descent  Proportional integral derivation  PID controller  High-dimensional and sparse matrix  Latent factor analysis   Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文  OAI收割 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 2, 页码: 402-411 作者:  Luo, Xin;  Qin, Wen;  Dong, Ani;  Sedraoui, Khaled;  Zhou, MengChu   |  收藏  |  浏览/下载：28/0  |  提交时间：2021/03/17 Big data  industrial application  industrial data  latent factor analysis  machine learning  parallel algorithm  recommender system (RS)  stochastic gradient descent (SGD)   Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 402-411 作者:  Xin Luo;  Wen Qin;  Ani Dong;  Khaled Sedraoui;  MengChu Zhou   |  收藏  |  浏览/下载：17/0  |  提交时间：2021/04/09 Big data  industrial application  industrial data  latent factor analysis  machine learning  parallel algorithm  recommender system (RS)  stochastic gradient descent (SGD)   首页 上一页 1 2 3 下一页 末页