Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring

14 June 2022

Papers citing "Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring"

27 / 27 papers shown

Title
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization Zhuang Qi Sijin Zhou Lei Meng Han Hu Han Yu Xiangxu Meng FedML CML 250 0 0 08 May 2025
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach Yiyuan Yang Guodong Long Dinesh Manocha Qinghua Lu Shanshan Ye Jing Jiang OODD 279 1 0 02 May 2025
Federated Out-of-Distribution Generalization: A Causal Augmentation View Runhui Zhang Sijin Zhou Zhuang Qi OOD FedML 78 1 0 28 Apr 2025
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning Shunxin Guo Jiaqi Lv Xin Geng 54 0 0 27 Apr 2025
Global Intervention and Distillation for Federated Out-of-Distribution Generalization Zhuang Qi Runhui Zhang Lei Meng Wei Wu Yachong Zhang X. Meng FedML 81 1 0 01 Apr 2025
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion Zhenheng Tang Yonggang Zhang Peijie Dong Y. Cheung Amelie Chi Zhou Bo Han Xiaowen Chu FedML MoMe AI4CE 59 7 0 27 Oct 2024
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection Xinting Liao Weiming Liu Pengyang Zhou Fengyuan Yu Jiahe Xu Jun Wang Wenjie Wang Chaochao Chen Xiaolin Zheng FedML OODD 53 2 0 15 Oct 2024
Influence-oriented Personalized Federated Learning Yue Tan Guodong Long Jing Jiang Chengqi Zhang FedML 40 0 0 04 Oct 2024
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare Ming Li Pengcheng Xu Junjie Hu Zeyu Tang Guang Yang FedML 53 1 0 15 Sep 2024
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation Philip Schutte V. Corbetta Regina Beets-Tan Wilson Silva FedML 40 0 0 21 Aug 2024
FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion Models Mingzhao Yang Shangchao Su Bin Li Xiangyang Xue 40 6 0 29 Jul 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 66 0 0 23 Jul 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations Chuan Chen Tianchi Liao Xiaojun Deng Zihou Wu Sheng Huang Zibin Zheng FedML 44 1 0 16 May 2024
Client-supervised Federated Learning: Towards One-model-for-all Personalization Peng Yan Guodong Long FedML 41 2 0 28 Mar 2024
Disentangle Estimation of Causal Effects from Cross-Silo Data Yuxuan Liu Yining Qi Shuang Wang Zhiming He Wenchao Xu Jialiang Zhu Fan Yang CML 32 2 0 04 Jan 2024
FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning Lingzhi Gao Zexi Li Yang Lu Chao Wu 47 6 0 30 Nov 2023
FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients Shangchao Su Bin Li Xiangyang Xue FedML 51 11 0 19 Nov 2023
Personalized Federated Learning via ADMM with Moreau Envelope Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Zhiyong Peng 31 0 0 12 Nov 2023
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data Xinting Liao Chaochao Chen Weiming Liu Pengyang Zhou Huabin Zhu Shuheng Shen Weiqiang Wang Mengling Hu Yanchao Tan Xiaolin Zheng FedML 49 6 0 17 Aug 2023
Take Your Pick: Enabling Effective Personalized Federated Learning within Low-dimensional Feature Space Guogang Zhu Xuefeng Liu Shaojie Tang Jianwei Niu Xinghao Wu Jiaxing Shen 35 2 0 26 Jul 2023
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning Xinting Liao Weiming Liu Chaochao Chen Pengyang Zhou Huabin Zhu Yanchao Tan Jun Wang Yue Qi FedML 46 11 0 26 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 44 252 0 20 Jul 2023
Unlocking the Potential of Federated Learning for Deeper Models Hao Wang Xuefeng Liu Jianwei Niu Shaojie Tang Jiaxing Shen FedML AI4CE 27 1 0 05 Jun 2023
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions Leijie Wu Song Guo Junxiao Wang Zicong Hong Jie Zhang Jingren Zhou KELM 57 4 0 02 Jun 2023
FedPH: Privacy-enhanced Heterogeneous Federated Learning Hangdong Kuang Mi Bo FedML 32 0 0 27 Jan 2023
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning Shangchao Su Min Yang Bin Li Xiangyang Xue VLM FedML 43 18 0 15 Nov 2022
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 171 791 0 15 Feb 2021