中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共22条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
DeFT: Relaxing data dependencies for efficient communication scheduling in distributed training 期刊论文
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：6/0  |  提交时间：2025/12/03
Distributed deep learning  Communication scheduling  Data parallelism  
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：4/0  |  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：39/0  |  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：34/0  |  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：37/0  |  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：63/0  |  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：35/0  |  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：35/0  |  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：64/0  |  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：29/0  |  提交时间：2024/12/06
Scheduling  timely-throughput  deep reinforcement learning  real-time wireless networks  distributed system