Federated Learning with Partial Model Personalization

8 April 2022

Papers citing "Federated Learning with Partial Model Personalization"

50 / 84 papers shown

Title
Differential Privacy Personalized Federated Learning Based on Dynamically Sparsified Client Updates Chuanyin Wang Yifei Zhang Neng Gao Qiang Luo FedML 52 0 0 12 Mar 2025
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning Weihang Chen Jie Ren Zhiqiang Li Ling Gao Z. Wang AI4CE 118 0 0 10 Dec 2024
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic Jinqian Chen Jihua Zhu 21 0 0 16 Oct 2024
Federated brain tumor segmentation: an extensive benchmark Matthis Manthe Stefan Duffner Carole Lartizien OOD FedML 30 4 0 07 Oct 2024
Collaborative and Efficient Personalization with Mixtures of Adaptors Abdulla Jasem Almansoori Samuel Horváth Martin Takáč FedML 42 2 0 04 Oct 2024
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models Ji Liu Jiaxiang Ren Ruoming Jin Zijie Zhang Yang Zhou P. Valduriez Dejing Dou FedML 19 1 0 30 Sep 2024
DP $^2$ -FedSAM: Enhancing Differentially Private Federated Learning Through Personalized Sharpness-Aware Minimization Zhenxiao Zhang Yuanxiong Guo Yanmin Gong FedML 20 0 0 20 Sep 2024
Personalized Multi-tier Federated Learning Sourasekhar Banerjee Ali Dadras A. Yurtsever Monowar Bhuyan FedML 51 3 0 19 Jul 2024
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition Xinghao Wu Xuefeng Liu Jianwei Niu Haolin Wang Shaojie Tang Guogang Zhu Hao Su FedML 32 7 0 28 Jun 2024
Personalized Interpretation on Federated Learning: A Virtual Concepts approach Peng Yan Guodong Long Jing Jiang Michael Blumenstein FedML 20 0 0 28 Jun 2024
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning Hansi Yang James T. Kwok 41 0 0 19 Jun 2024
Federated Model Heterogeneous Matryoshka Representation Learning Liping Yi Han Yu Chao Ren Gang Wang Xiaoguang Liu Xiaoxiao Li FedML 30 8 0 01 Jun 2024
Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneity Zheng Wang Zheng Wang Zhaopeng Peng Zihui Wang Cheng-i Wang FedML 30 0 0 31 May 2024
Decentralized Directed Collaboration for Personalized Federated Learning Yingqi Liu Yifan Shi Qinglun Li Baoyuan Wu Xueqian Wang Li Shen FedML 51 3 0 28 May 2024
FedSheafHN: Personalized Federated Learning on Graph-structured Data Wenfei Liang Yanan Zhao Rui She Yiming Li Wee Peng Tay FedML 38 0 0 25 May 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations Chuan Chen Tianchi Liao Xiaojun Deng Zihou Wu Sheng Huang Zibin Zheng FedML 36 2 0 16 May 2024
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving Wei-Bin Kou Qingfeng Lin Ming Tang Sheng Xu Rongguang Ye ... Shuai Wang Guofa Li Zhenyu Chen Guangxu Zhu Yik-Chung Wu FedML 45 10 0 07 May 2024
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification Hui Chen Hengyu Liu Zhangkai Wu Xuhui Fan LongBing Cao FedML 28 2 0 24 Apr 2024
Multi-Task Learning as enabler for General-Purpose AI-native RAN Hasan Farooq Julien Forgeat Shruti Bothe K. Čyras Md Moin 21 0 0 05 Apr 2024
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning Rishub Tamirisa Chulin Xie Wenxuan Bao Andy Zhou Ron Arel Aviv Shamsian 19 6 0 03 Apr 2024
MAPL: Model Agnostic Peer-to-peer Learning Sayak Mukherjee Andrea Simonetto Hadi Jamali Rad 22 0 0 28 Mar 2024
Client-supervised Federated Learning: Towards One-model-for-all Personalization Peng Yan Guodong Long FedML 28 2 0 28 Mar 2024
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization Khiem Le-Huy Long Ho Cuong D. Do Danh Le-Phuoc Kok-Seng Wong OOD FedML 32 3 0 22 Mar 2024
Architectural Blueprint For Heterogeneity-Resilient Federated Learning Satwat Bashir T. Dagiuklas Kasra Kassai Muddesar Iqbal 14 1 0 07 Mar 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
How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning Yuchang Sun Marios Kountouris Jun Zhang FedML 17 2 0 24 Jan 2024
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data Zikai Xiao Zihan Chen Liyinglan Liu Yang Feng Jian Wu Wanlu Liu Joey Tianyi Zhou Howard H. Yang Zuo-Qiang Liu FedML 37 6 0 17 Jan 2024
Learn What You Need in Personalized Federated Learning Kexin Lv Rui Ye Xiaolin Huang Jie-jin Yang Siheng Chen FedML 11 0 0 16 Jan 2024
A review of federated learning in renewable energy applications: Potential, challenges, and future directions Albin Grataloup Stefan Jonas Angela Meyer 16 3 0 18 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 27 6 0 14 Dec 2023
pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing Liping Yi Han Yu Gang Wang Xiaoguang Liu 19 7 0 12 Nov 2023
Personalized Federated Learning via ADMM with Moreau Envelope Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Zhiyong Peng 15 0 0 12 Nov 2023
PPFL: A Personalized Federated Learning Framework for Heterogeneous Population Hao Di Yi Yang Haishan Ye Xiangyu Chang FedML 20 2 0 22 Oct 2023
Whole-brain radiomics for clustered federated personalization in brain tumor segmentation Matthis Manthe Stefan Duffner Carole Lartizien FedML 22 2 0 17 Oct 2023
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning Wang Lu Hao Yu Jindong Wang Damien Teney Haohan Wang Yiqiang Chen Qiang Yang Xing Xie Xiangyang Ji 66 8 0 08 Oct 2023
Federated Deep Equilibrium Learning: A Compact Shared Representation for Edge Communication Efficiency Long Tan Le Tuan Dung Nguyen Tung-Anh Nguyen Choong Seon Hong Nguyen H. Tran FedML 19 0 0 27 Sep 2023
Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations Hui Chen Hengyu Liu LongBing Cao Tiancheng Zhang FedML 31 3 0 27 Sep 2023
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration Xinghao Wu Xuefeng Liu Jianwei Niu Guogang Zhu Shaojie Tang FedML 9 17 0 20 Sep 2023
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks Qiying Pan Ruofan Wu Tengfei Liu Tianyi Zhang Yifei Zhu Weiqiang Wang FedML 46 9 0 18 Sep 2023
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning Zebang Shen Jiayuan Ye Anmin Kang Hamed Hassani Reza Shokri FedML 19 16 0 11 Sep 2023
Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks Xiaonan Liu T. Ratnarajah M. Sellathurai Yonina C. Eldar 12 4 0 04 Sep 2023
Federated Two Stage Decoupling With Adaptive Personalization Layers Hangyu Zhu Yuxiang Fan Zhenping Xie FedML 13 3 0 30 Aug 2023
A Survey for Federated Learning Evaluations: Goals and Measures Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang ELM FedML 17 21 0 23 Aug 2023
Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification Junhao Zhang Qianqian Wang Xiaochuan Wang Lishan Qiao Mingxia Liu 11 12 0 20 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 28 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 17 15 0 17 Aug 2023
Towards Personalized Federated Learning via Heterogeneous Model Reassembly Jiaqi Wang Xingyi Yang Suhan Cui Liwei Che Lingjuan Lyu Dongkuan Xu Fenglong Ma FedML 13 44 0 16 Aug 2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design Mahdi Morafah Weijia Wang Bill Lin FedML 16 6 0 28 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 29 244 0 20 Jul 2023
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning Zachary B. Charles Nicole Mitchell Krishna Pillutla Michael Reneer Zachary Garrett FedML AI4CE 23 28 0 18 Jul 2023