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Practically Unbiased Pairwise Loss for Recommendation With Implicit Feedback 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2025, 卷号: 47, 期号: 4, 页码: 2460-2474
作者:  Cao, Tianwei;  Xu, Qianqian;  Yang, Zhiyong;  Ma, Zhanyu;  Huang, Qingming
收藏  |  浏览/下载:3/0  |  提交时间:2025/06/25
Estimation  Imputation  Training data  IP networks  Accuracy  Supervised learning  Recommender systems  Noise  Data models  Computer science  Recommender system  collaborative filtering  debias  noise-robust learning  pairwise ranking loss  
FedCRAC: Improving Federated Classification Performance on Long-Tailed Data via Classifier Representation Adjustment and Calibration 期刊论文
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2025, 卷号: 24, 期号: 1, 页码: 482-499
作者:  Li, Xujing;  Sun, Sheng;  Liu, Min;  Ren, Ju;  Jiang, Xuefeng;  He, Tianliu
收藏  |  浏览/下载:0/0  |  提交时间:2025/06/25
Tail  Data models  Training  Computational modeling  Servers  Accuracy  Feature extraction  Data heterogeneity  federated learning  long-tailed data  representation alignment  
Unified Multi-Modal Image Synthesis for Missing Modality Imputation 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2025, 卷号: 44, 期号: 1, 页码: 4-18
作者:  Zhang, Yue;  Peng, Chengtao;  Wang, Qiuli;  Song, Dan;  Li, Kaiyan;  Zhou, S. Kevin
收藏  |  浏览/下载:3/0  |  提交时间:2025/06/25
Image synthesis  Imputation  Medical diagnostic imaging  Task analysis  Streams  Training  Feature extraction  Medical image synthesis  multi-modal images  data imputation  
IGU-Aug: Information-Guided Unsupervised Augmentation and Pixel-Wise Contrastive Learning for Medical Image Analysis 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2025, 卷号: 44, 期号: 1, 页码: 154-164
作者:  Quan, Quan;  Yao, Qingsong;  Zhu, Heqin;  Zhou, S. Kevin
收藏  |  浏览/下载:5/0  |  提交时间:2025/06/25
Contrastive learning  Task analysis  Data augmentation  Semantics  Training  Feature extraction  Image segmentation  data augmentation  few-shot learning  landmark detection  segmentation  
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:5/0  |  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  
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 16
作者:  Liu, Qingxiang;  Sun, Sheng;  Liang, Yuxuan;  Xu, Xiaolong;  Liu, Min;  Bilal, Muhammad;  Wang, Yuwei;  Li, Xujing;  Zheng, Yu
收藏  |  浏览/下载:3/0  |  提交时间:2025/06/25
Predictive models  Concept drift  Correlation  Forecasting  Computational modeling  Data models  Optimization  Adaptation models  Urban areas  Training  Traffic flow forecasting  federated learning  concept drift  online learning  graph convolution  
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:17/0  |  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  
Age of Information Based Client Selection for Wireless Federated Learning With Diversified Learning Capabilities 期刊论文
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 卷号: 23, 期号: 12, 页码: 14934-14945
作者:  Dong, Liran;  Zhou, Yiqing;  Liu, Ling;  Qi, Yanli;  Zhang, Yu
收藏  |  浏览/下载:2/0  |  提交时间:2025/06/25
Training  Computational modeling  Servers  Data models  Wireless communication  Mobile computing  Accuracy  Federated learning (FL)  age of information (AoI)  client selection  fairness scheduling  
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:19/0  |  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
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: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