中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共12条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
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  
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  
PDD: Pruning Neural Networks During Knowledge Distillation 期刊论文
COGNITIVE COMPUTATION, 2024, 页码: 11
作者:  Dan, Xi;  Yang, Wenjie;  Zhang, Fuyan;  Zhou, Yihang;  Yu, Zhuojun;  Qiu, Zhen;  Zhao, Boyuan;  Dong, Zeyu;  Huang, Libo;  Yang, Chuanguang
收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06
Knowledge distillation  Model pruning  Model compression  
An adaptive joint optimization framework for pruning and quantization 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2024, 页码: 17
作者:  Li, Xiaohai;  Yang, Xiaodong;  Zhang, Yingwei;  Yang, Jianrong;  Chen, Yiqiang
收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06
Model compression  Network pruning  Quantization  Mutual learning  Multi-teacher knowledge distillation  
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  
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2024, 卷号: 15, 期号: 2, 页码: 34
作者:  Wu, Zhiyuan;  Sun, Sheng;  Wang, Yuwei;  Liu, Min;  Pan, Quyang;  Zhang, Junbo;  Li, Zeju;  Liu, Qingxiang
收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06
Federated learning  knowledge distillation  proxy-data-free  model heterogeneity  
Knowledge Distillation for Travel Time Estimation 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 12
作者:  Zhang, Haichao;  Zhao, Fang;  Wang, Chenxing;  Luo, Haiyong;  Xiong, Haoyu;  Fang, Yuchen
收藏  |  浏览/下载：10/0  |  提交时间：2024/05/20
Computational modeling  Trajectory  Roads  Global Positioning System  Predictive models  Estimation  Context modeling  Spatial-travel time estimation  temporal data mining  knowledge distillation  deep learning  
SPFL: A Self-Purified Federated Learning Method Against Poisoning Attacks 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 卷号: 19, 页码: 6604-6619
作者:  Liu, Zizhen;  He, Weiyang;  Chang, Chip-Hong;  Ye, Jing;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：2/0  |  提交时间：2024/12/06
Data models  Servers  Training  Hidden Markov models  Training data  Adaptation models  Security  Federated learning  poisoning attack  knowledge distillation  attention maps  deep neural network  
Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 10212-10227
作者:  Yang, Chuanguang;  An, Zhulin;  Zhou, Helong;  Zhuang, Fuzhen;  Xu, Yongjun;  Zhang, Qian
收藏  |  浏览/下载：19/0  |  提交时间：2023/12/04
Contrastive learning  mutual learning  online knowledge distillation  visual recognition  
MetaFed: Federated Learning Among Federations With Cyclic Knowledge Distillation for Personalized Healthcare 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 12
作者:  Chen, Yiqiang;  Lu, Wang;  Qin, Xin;  Wang, Jindong;  Xie, Xing
收藏  |  浏览/下载：14/0  |  提交时间：2023/12/04
Federated learning (FL)  healthcare  knowledge distillation (KD)  personalization  transfer learning