Towards Personalized Federated Learning

1 March 2021

Papers citing "Towards Personalized Federated Learning"

50 / 355 papers shown

Title
You Can Backdoor Personalized Federated Learning Tiandi Ye Cen Chen Yinggui Wang Xiang Li Ming Gao AAML FedML 27 4 0 29 Jul 2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design Mahdi Morafah Weijia Wang Bill Lin FedML 24 7 0 28 Jul 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 11 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 22 11 0 26 Jul 2023
Federated K-Means Clustering via Dual Decomposition-based Distributed Optimization V. Yfantis A. Wagner Martin Ruskowski FedML 13 1 0 25 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 33 244 0 20 Jul 2023
Privacy-preserving patient clustering for personalized federated learning Ahmed Elhussein Gamze Gursoy FedML OOD 13 8 0 17 Jul 2023
Tackling Computational Heterogeneity in FL: A Few Theoretical Insights Adnane Mansour Gaia Carenini Alexandre Duplessis FedML 18 0 0 12 Jul 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey Dongqi Fu Wenxuan Bao Ross Maciejewski Hanghang Tong Jingrui He 24 9 0 10 Jul 2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning Shiyu Liu Shaogao Lv Dun Zeng Zenglin Xu Hongya Wang Yue Yu FedML 20 3 0 05 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 26 4 0 05 Jul 2023
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy Jianqing Zhang Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 28 55 0 01 Jul 2023
Momentum Benefits Non-IID Federated Learning Simply and Provably Ziheng Cheng Xinmeng Huang Pengfei Wu Kun Yuan FedML 27 16 0 28 Jun 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu C. L. P. Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 88 85 0 27 Jun 2023
Medical Federated Model with Mixture of Personalized and Sharing Components Yawei Zhao Qinghe Liu Xinwang Liu K. He FedML OOD 13 2 0 26 Jun 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 27 43 0 25 Jun 2023
Personalized Federated Learning with Feature Alignment and Classifier Collaboration Jian Xu Xin-Yi Tong Shao-Lun Huang FedML 26 100 0 20 Jun 2023
Federated Few-shot Learning Song Wang Xingbo Fu Kaize Ding Chen Chen Huiyuan Chen Jundong Li FedML 42 22 0 17 Jun 2023
Towards Quantum Federated Learning Chao Ren Han Yu Rudai Yan Minrui Xu Yuan Shen Huihui Zhu Dusit Niyato Zhaoyang Dong L. Kwek FedML AI4CE 36 19 0 16 Jun 2023
Provably Personalized and Robust Federated Learning Mariel A. Werner Lie He Michael I. Jordan Martin Jaggi Sai Praneeth Karimireddy FedML 25 11 0 14 Jun 2023
Personalized Graph Federated Learning with Differential Privacy François Gauthier Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh FedML 26 7 0 10 Jun 2023
Federated Learning for Medical Image Analysis: A Survey Hao Guan Pew-Thian Yap Andrea Bozoki Mingxia Liu FedML OOD 29 112 0 09 Jun 2023
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers Junyuan Hong Yi Zeng Shuyang Yu Lingjuan Lyu R. Jia Jiayu Zhou AAML 11 8 0 04 Jun 2023
Decentralized Federated Learning: A Survey and Perspective Liangqi Yuan Ziran Wang Lichao Sun Philip S. Yu Christopher G. Brinton FedML 34 85 0 02 Jun 2023
Federated Domain Generalization: A Survey Ying Li Xingwei Wang Rongfei Zeng Praveen Kumar Donta Ilir Murturi Min Huang Schahram Dustdar OOD FedML AI4CE 40 29 0 02 Jun 2023
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training Yi Shi Yingqi Liu Yan Sun Zihao Lin Li Shen Xueqian Wang Dacheng Tao FedML 40 10 0 24 May 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape Yan Sun Li Shen Shi-Yong Chen Liang Ding Dacheng Tao FedML 29 33 0 19 May 2023
Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks Saptarshi Nath Christos Peridis Eseoghene Ben-Iwhiwhu Xinran Liu Shirin Dora Cong Liu Soheil Kolouri Andrea Soltoggio CLL 18 7 0 18 May 2023
A Survey of Federated Evaluation in Federated Learning Behnaz Soltani Yipeng Zhou Venus Haghighi John C. S. Lui FedML 28 12 0 14 May 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources Suraj Rajendran Weishen Pan M. Sabuncu Yong Chen Jiayu Zhou Fei Wang 49 14 0 10 May 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation Daoyuan Chen Fandong Meng Dawei Gao Bolin Ding Yaliang Li FedML 106 47 0 04 May 2023
Personalized Federated Learning under Mixture of Distributions Yue Wu Shuaicheng Zhang Wenchao Yu Yanchi Liu Quanquan Gu Dawei Zhou Haifeng Chen Wei Cheng FedML 72 39 0 01 May 2023
Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis Hao Lu Adam Thelen Olga Fink Chao Hu S. Laflamme FedML 18 10 0 26 Apr 2023
Bayesian Federated Learning: A Survey LongBing Cao Hui Chen Xuhui Fan João Gama Yew-Soon Ong Vipin Kumar FedML 26 21 0 26 Apr 2023
Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition Liangqi Yuan Yunsheng Ma Lu Su Ziran Wang FedML 21 24 0 14 Apr 2023
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems Rui Song Runsheng Xu Andreas Festag Jiaqi Ma Alois C. Knoll FedML 26 25 0 04 Apr 2023
Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks Xabier Sáez-de-Cámara Jose Luis Flores Cristóbal Arellano A. Urbieta Urko Zurutuza 24 55 0 28 Mar 2023
Adaptive Federated Learning via New Entropy Approach Shensheng Zheng Wenhao Yuan Xuehe Wang Ling-Yu Duan FedML OOD 20 1 0 27 Mar 2023
Federated Learning without Full Labels: A Survey Yilun Jin Yang Liu Kai Chen Qian Yang FedML 10 26 0 25 Mar 2023
FS-Real: Towards Real-World Cross-Device Federated Learning Daoyuan Chen Dawei Gao Yuexiang Xie Xuchen Pan Zitao Li Yaliang Li Bolin Ding Jingren Zhou 109 26 0 23 Mar 2023
Federated Learning for Metaverse: A Survey Yao Chen Shan Huang Wensheng Gan Gengsen Huang Yongdong Wu FedML 30 20 0 23 Mar 2023
PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients Manas Wadhwa Gagan Raj Gupta Ashutosh Sahu Rahul Saini Vidhi Mittal FedML 17 6 0 19 Mar 2023
Visual Prompt Based Personalized Federated Learning Guang-Ming Li Wansen Wu Yan Sun Li Shen Baoyuan Wu Dacheng Tao FedML VLM 21 18 0 15 Mar 2023
Memory-adaptive Depth-wise Heterogenous Federated Learning Kai Zhang Yutong Dai Hongyi Wang Eric P. Xing Xun Chen Lichao Sun FedML 18 7 0 08 Mar 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths Yingcong Li Samet Oymak MoE 24 4 0 08 Mar 2023
FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in Federated Learning Shih-Fang Chang Benny Wei-Yun Hsu Tien-Yu Chang Vincent S. Tseng 6 2 0 27 Feb 2023
Personalizing Federated Learning with Over-the-Air Computations Zihan Chen Zeshen Li Howard H. Yang Tony Q. S. Quek FedML 11 12 0 24 Feb 2023
Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout Yuanyuan Chen Zichen Chen Sheng Guo Yansong Zhao Zelei Liu Pengcheng Wu Che-Sheng Yang Zengxiang Li Han Yu AI4CE 22 9 0 22 Feb 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 76 47 0 21 Feb 2023
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models Yingchun Wang Jingcai Guo Jie M. Zhang Song Guo Weizhan Zhang Qinghua Zheng FedML 16 11 0 09 Feb 2023