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Publication search results
found 45 matches
- 2023
- Junyi Zhu, Xingchen Ma, Matthew B. Blaschko:
Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization. CVPR 2023: 24542-24551 - Dengsheng Chen, Jie Hu, Vince Junkai Tan, Xiaoming Wei, Enhua Wu:
Elastic Aggregation for Federated Optimization. CVPR 2023: 12187-12197 - Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu:
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. CVPR 2023: 16343-16351 - Jiahua Dong, Duzhen Zhang, Yang Cong, Wei Cong, Henghui Ding, Dengxin Dai:
Federated Incremental Semantic Segmentation. CVPR 2023: 3934-3943 - Jian-Hui Duan, Wenzhong Li, Derun Zou, Ruichen Li, Sanglu Lu:
Federated Learning with Data-Agnostic Distribution Fusion. CVPR 2023: 8074-8083 - Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo:
Learning Federated Visual Prompt in Null Space for MRI Reconstruction. CVPR 2023: 8064-8073 - Wenke Huang, Mang Ye, Zekun Shi, He Li, Bo Du:
Rethinking Federated Learning with Domain Shift: A Prototype View. CVPR 2023: 16312-16322 - Fatih Ilhan, Gong Su, Ling Liu:
ScaleFL: Resource-Adaptive Federated Learning with Heterogeneous Clients. CVPR 2023: 24532-24541 - Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu:
Fair Federated Medical Image Segmentation via Client Contribution Estimation. CVPR 2023: 16302-16311 - Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun:
Re-Thinking Federated Active Learning Based on Inter-Class Diversity. CVPR 2023: 3944-3953 - Ming Li, Qingli Li, Yan Wang:
Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning. CVPR 2023: 16292-16301 - Bo Li, Mikkel N. Schmidt, Tommy S. Alstrøm, Sebastian U. Stich:
On the Effectiveness of Partial Variance Reduction in Federated Learning with Heterogeneous Data. CVPR 2023: 3964-3973 - Dongping Liao, Xitong Gao, Yiren Zhao, Chengzhong Xu:
Adaptive Channel Sparsity for Federated Learning under System Heterogeneity. CVPR 2023: 20432-20441 - Kangyang Luo, Xiang Li, Yunshi Lan, Ming Gao:
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting. CVPR 2023: 3708-3717 - Jiaxu Miao, Zongxin Yang, Leilei Fan, Yi Yang:
FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation. CVPR 2023: 8042-8052 - Zixuan Qin, Liu Yang, Qilong Wang, Yahong Han, Qinghua Hu:
Reliable and Interpretable Personalized Federated Learning. CVPR 2023: 20422-20431 - Zhe Qu, Xingyu Li, Xiao Han, Rui Duan, Chengchao Shen, Lixing Chen:
How to Prevent the Poor Performance Clients for Personalized Federated Learning? CVPR 2023: 12167-12176 - Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao:
Make Landscape Flatter in Differentially Private Federated Learning. CVPR 2023: 24552-24562 - Haozhao Wang, Yichen Li, Wenchao Xu, Ruixuan Li, Yufeng Zhan, Zhigang Zeng:
DaFKD: Domain-aware Federated Knowledge Distillation. CVPR 2023: 20412-20421 - Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix Yu, Cho-Jui Hsieh:
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning. CVPR 2023: 16323-16332 - Yuan-Yi Xu, Ci-Siang Lin, Yu-Chiang Frank Wang:
Bias-Eliminating Augmentation Learning for Debiased Federated Learning. CVPR 2023: 20442-20452 - Ruipeng Zhang, Qinwei Xu, Jiangchao Yao, Ya Zhang, Qi Tian, Yanfeng Wang:
Federated Domain Generalization with Generalization Adjustment. CVPR 2023: 3954-3963 - Joshua C. Zhao, Ahmed Roushdy Elkordy, Atul Sharma, Yahya H. Ezzeldin, Salman Avestimehr, Saurabh Bagchi:
The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning. CVPR 2023: 3974-3983 - 2022
- Yiqing Shen, Yuyin Zhou, Lequan Yu:
CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning. CVPR 2022: 10031-10040 - Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng:
Differentially Private Federated Learning with Local Regularization and Sparsification. CVPR 2022: 10112-10121 - Jiahua Dong, Lixu Wang, Zhen Fang, Gan Sun, Shichao Xu, Xiao Wang, Qi Zhu:
Federated Class-Incremental Learning. CVPR 2022: 10154-10163 - Xiuwen Fang, Mang Ye:
Robust Federated Learning with Noisy and Heterogeneous Clients. CVPR 2022: 10062-10071 - Liang Gao, Huazhu Fu, Li Li, Yingwen Chen, Ming Xu, Cheng-Zhong Xu:
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction. CVPR 2022: 10102-10111 - Wenke Huang, Mang Ye, Bo Du:
Learn from Others and Be Yourself in Heterogeneous Federated Learning. CVPR 2022: 10133-10143 - Zhuohang Li, Jiaxin Zhang, Luyang Liu, Jian Liu:
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage. CVPR 2022: 10122-10132
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