Personalized Federated Learning using Hypernetworks

8 March 2021

Papers citing "Personalized Federated Learning using Hypernetworks"

50 / 174 papers shown

Title
Federated Learning for Estimating Heterogeneous Treatment Effects Disha Makhija Joydeep Ghosh Yejin Kim CML FedML 27 2 0 27 Feb 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning Ha Min Son M. Kim Tai-Myung Chung Chao Huang Xin Liu FedML 41 3 0 27 Feb 2024
Personalized Federated Instruction Tuning via Neural Architecture Search Peng Zhang Yingbo Zhou Ming Hu Junxian Feng Jiawen Weng Mingsong Chen FedML 19 3 0 26 Feb 2024
Hypernetwork-Driven Model Fusion for Federated Domain Generalization Marc Bartholet Taehyeon Kim Ami Beuret SeYoung Yun J. M. Buhmann FedML 26 1 0 10 Feb 2024
Spectral Co-Distillation for Personalized Federated Learning Zihan Chen Howard H. Yang Tony Q. S. Quek Kai Fong Ernest Chong OOD FedML 11 13 0 29 Jan 2024
Budgeted Online Model Selection and Fine-Tuning via Federated Learning P. M. Ghari Yanning Shen FedML 33 1 0 19 Jan 2024
Learn What You Need in Personalized Federated Learning Kexin Lv Rui Ye Xiaolin Huang Jie-jin Yang Siheng Chen FedML 24 0 0 16 Jan 2024
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning Jianqing Zhang Yang Janet Liu Yang Hua Jian Cao FedML 57 37 0 06 Jan 2024
Replica Tree-based Federated Learning using Limited Data Ramona Ghilea I. Rekik 14 0 0 28 Dec 2023
Cross Initialization for Personalized Text-to-Image Generation Lianyu Pang Jian Yin Haoran Xie Qiping Wang Qing Li Xudong Mao DiffM 21 7 0 26 Dec 2023
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning Zhongyi Cai Ye-ling Shi Wei Huang Jingya Wang FedML 24 4 0 21 Dec 2023
Efficient Verification-Based Face Identification Amit Rozner Barak Battash Ofir Lindenbaum Lior Wolf CVBM 27 2 0 20 Dec 2023
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning Liping Yi Han Yu Zhuan Shi Gang Wang Xiaoguang Liu Lizhen Cui Xiaoxiao Li FedML 40 6 0 14 Dec 2023
Eliminating Domain Bias for Federated Learning in Representation Space Jianqing Zhang Yang Hua Jian Cao Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 71 33 0 25 Nov 2023
Energizing Federated Learning via Filter-Aware Attention Ziyuan Yang Zerui Shao Huijie Huangfu Hui Yu Andrew Beng Jin Teoh Xiaoxiao Li Hongming Shan Yi Zhang FedML 40 0 0 18 Nov 2023
pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing Liping Yi Han Yu Gang Wang Xiaoguang Liu 35 7 0 12 Nov 2023
Personalized Online Federated Learning with Multiple Kernels P. M. Ghari Yanning Shen 49 13 0 09 Nov 2023
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment Matt Gorbett Hossein Shirazi Indrakshi Ray FedML 21 2 0 08 Nov 2023
Adaptive Test-Time Personalization for Federated Learning Wenxuan Bao Tianxin Wei Haohan Wang Jingrui He TTA OOD 23 14 0 28 Oct 2023
Contextual Stochastic Bilevel Optimization Yifan Hu Jie Wang Yao Xie Andreas Krause Daniel Kuhn 32 11 0 27 Oct 2023
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning Wenlong Deng Christos Thrampoulidis Xiaoxiao Li 27 12 0 27 Oct 2023
Learning to Generate Parameters of ConvNets for Unseen Image Data Shiye Wang Kaituo Feng Changsheng Li Ye Yuan Guoren Wang 18 1 0 18 Oct 2023
Whole-brain radiomics for clustered federated personalization in brain tumor segmentation Matthis Manthe Stefan Duffner Carole Lartizien FedML 29 2 0 17 Oct 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning Mingjia Shi Yuhao Zhou Kai Wang Huaizheng Zhang Shudong Huang Qing Ye Jiangcheng Lv 21 9 0 13 Oct 2023
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning Liam Collins Shanshan Wu Sewoong Oh K. Sim FedML 34 9 0 06 Oct 2023
FedL2P: Federated Learning to Personalize Royson Lee Minyoung Kim Da Li Xinchi Qiu Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane FedML 10 0 0 03 Oct 2023
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation Xiang Liu Liangxi Liu Feiyang Ye Yunheng Shen Xia Li Linshan Jiang Jialin Li 23 4 0 30 Sep 2023
Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation Fu-En Yang Chien-Yi Wang Yu-Chiang Frank Wang VLM FedML 17 58 0 29 Aug 2023
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning Jianqing Zhang Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Jianyin Cao Haibing Guan 33 23 0 20 Aug 2023
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning Guangyu Sun Matías Mendieta Jun Luo Shandong Wu C. L. P. Chen 30 16 0 17 Aug 2023
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts S. Park Seunghan Yang Jaegul Choo Sungrack Yun VLM TTA 25 17 0 17 Aug 2023
HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation Chenglei Shen Xiao Zhang Wei Wei Juncai Xu AI4TS 27 6 0 14 Aug 2023
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup Yan Sun Li Shen Hao Sun Liang Ding Dacheng Tao FedML 19 16 0 30 Jul 2023
UPFL: Unsupervised Personalized Federated Learning towards New Clients Tiandi Ye Cen Chen Yinggui Wang Xiang Li Ming Gao FedML 20 3 0 29 Jul 2023
Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models Moab Arar Rinon Gal Y. Atzmon Gal Chechik Daniel Cohen-Or Ariel Shamir Amit H. Bermano DiffM 43 76 0 13 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 23 55 0 01 Jul 2023
Elastically-Constrained Meta-Learner for Federated Learning Peng Lan Donglai Chen Chong Xie Keshu Chen Jinyuan He Juntao Zhang Yonghong Chen Yan Xu FedML 20 0 0 29 Jun 2023
Personalized Federated Learning with Feature Alignment and Classifier Collaboration Jian Xu Xin-Yi Tong Shao-Lun Huang FedML 20 100 0 20 Jun 2023
Structured Cooperative Learning with Graphical Model Priors Shuang-Yang Li Tianyi Zhou Xinmei Tian Dacheng Tao 17 0 0 16 Jun 2023
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings Disha Makhija Joydeep Ghosh Nhat Ho FedML 24 2 0 13 Jun 2023
A Brief Review of Hypernetworks in Deep Learning Vinod Kumar Chauhan Jiandong Zhou Ping Lu Soheila Molaei David A. Clifton 25 93 0 12 Jun 2023
Personalization Disentanglement for Federated Learning: An explainable perspective Peng Yan Guodong Long FedML 11 4 0 06 Jun 2023
pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning Jiahao Tan Yipeng Zhou Gang Liu Jessie Hui Wang Shui Yu FedML 17 13 0 25 May 2023
Confidence-aware Personalized Federated Learning via Variational Expectation Maximization Junyi Zhu Xingchen Ma Matthew B. Blaschko FedML 19 19 0 21 May 2023
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment Jiahao Liu Jiang Wu Jinyu Chen Miao Hu Yipeng Zhou Di Wu FedML 16 17 0 10 May 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation Daoyuan Chen Fandong Meng Dawei Gao Bolin Ding Yaliang Li FedML 103 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 66 39 0 01 May 2023
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification Hong-You Chen Jike Zhong Mingda Zhang Xuhui Jia Qi Boqing Gong Wei-Lun Chao Li Zhang FedML 25 6 0 16 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
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis T. Le Hao Phung Thuan Hoang Nguyen Quan Dao Ngoc N. Tran Anh Tran 19 91 0 27 Mar 2023