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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:9/0  |  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:10/0  |  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  
Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 3, 页码: 630-643
作者:  Li, Manling;  Wang, Yuanzhuo;  Zhang, Denghui;  Jia, Yantao;  Cheng, Xueqi
收藏  |  浏览/下载:35/0  |  提交时间:2022/12/07
Link prediction  knowledge graph embedding  hierarchy