机构

• 计算技术研究所 [8]
• 自动化研究所 [3]
• 重庆绿色智能技术研究... [1]

采集方式

• OAI收割 [12]

内容类型

• 期刊论文 [11]
• 学位论文 [1]

发表日期

• 2024 [6]
• 2022 [4]
• 2019 [1]
• 2015 [1]

学科主题

筛选

浏览/检索结果: 共12条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择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发表日期升序发表日期降序 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：3/0  |  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  OAI收割 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   |  收藏  |  浏览/下载：4/0  |  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  OAI收割 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   |  收藏  |  浏览/下载：5/0  |  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  OAI收割 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   |  收藏  |  浏览/下载：16/0  |  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  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：18/0  |  提交时间：2024/05/20 Gradient compression  Multi-layer fusion  Distributed stochastic gradient descent  Deep learning training   An Empirical Study on Google Research Football Multi-agent Scenarios 期刊论文  OAI收割 Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 549-570 作者:  Yan Song;  He Jiang;  Zheng Tian;  Haifeng Zhang;  Yingping Zhang   |  收藏  |  浏览/下载：17/0  |  提交时间：2024/05/23 Multi-agent reinforcement learning (RL), distributed RL system, population-based training, reward shaping, game theory   An Accurate and Efficient Large-Scale Regression Method Through Best Friend Clustering 期刊论文  OAI收割 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：39/0  |  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  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：31/0  |  提交时间：2022/12/07 deep learning  distributed computing  ImageNet-1K  large-batch training  synchronous SGD   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   Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：20/0  |  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