Layer-wised Model Aggregation for Personalized Federated Learning

9 May 2022

Papers citing "Layer-wised Model Aggregation for Personalized Federated Learning"

50 / 74 papers shown

Title
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Ljubomir Rokvic Panayiotis Danassis Boi Faltings FedML 33 0 0 05 May 2025
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation Y. Li Bo Liu Sheng Huang Z. Zhang Xiaotong Yuan Richang Hong 41 0 0 31 Mar 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors Changlong Shi He Zhao Bingjie Zhang Mingyuan Zhou Dandan Guo Yi Chang 42 0 0 20 Mar 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking Changlong Shi Jinmeng Li He Zhao D. Guo Yi Chang FedML 47 0 0 19 Mar 2025
Federated Learning with Domain Shift Eraser Z. Wang Zihui Wang Z. Wang Xiaoliang Fan Cheng-Yu Wang FedML 51 0 0 17 Mar 2025
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning Binghui Zhang Luis Mares De La Cruz Binghui Wang FedML 48 0 0 15 Mar 2025
A Multi-Modal Federated Learning Framework for Remote Sensing Image Classification Barış Büyüktaş Gencer Sumbul Begum Demir 47 1 0 13 Mar 2025
Prototype-based Heterogeneous Federated Learning for Blade Icing Detection in Wind Turbines with Class Imbalanced Data Lele Qi Mengna Liu Xu Cheng Fan Shi Xiufeng Liu Shengyong Chen 34 0 0 11 Mar 2025
BDPFL: Backdoor Defense for Personalized Federated Learning via Explainable Distillation Chengcheng Zhu J. Zhang Di Wu Guodong Long FedML AAML 45 0 0 09 Mar 2025
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data Yuxia Sun Aoxiang Sun Siyi Pan Zhixiao Fu Jingcai Guo 81 0 0 11 Feb 2025
FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks Jiarui Song Yunheng Shen Chengbin Hou Pengyu Wang Jinbao Wang Ke Tang Hairong Lv FedML 44 1 0 24 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 85 7 0 17 Jan 2025
Modality Alignment Meets Federated Broadcasting Yuting Ma Shengeng Tang Xiaohua Xu Lechao Cheng 68 1 0 24 Nov 2024
Personalized Quantum Federated Learning for Privacy Image Classification Jinjing Shi Tian Chen Shichao Zhang Xuelong Li FedML 26 0 0 03 Oct 2024
DynamicFL: Federated Learning with Dynamic Communication Resource Allocation Qi Le Enmao Diao Xinran Wang Vahid Tarokh Jie Ding Ali Anwar FedML 24 1 0 08 Sep 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation Jiahao Xu Zikai Zhang Rui Hu 35 4 0 02 Sep 2024
Tackling Data Heterogeneity in Federated Learning via Loss Decomposition Shuang Zeng Pengxin Guo Shuai Wang Jianbo Wang Yuyin Zhou Liangqiong Qu FedML 29 2 0 22 Aug 2024
Heterogeneity: An Open Challenge for Federated On-board Machine Learning Maria Hartmann Grégoire Danoy Pascal Bouvry FedML 24 0 0 13 Aug 2024
Personalizing Federated Instrument Segmentation with Visual Trait Priors in Robotic Surgery Jialang Xu Jiacheng Wang Lequan Yu Danail Stoyanov Yueming Jin E. Mazomenos 24 1 0 06 Aug 2024
Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning Fengling Lv Xinyi Shang Yang Zhou Yiqun Zhang Mengke Li Yang Lu FedML 29 0 0 04 Aug 2024
HF-Fed: Hierarchical based customized Federated Learning Framework for X-Ray Imaging Tajamul Ashraf Tisha Madame 35 0 0 25 Jul 2024
Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation Xinghao Wu Jianwei Niu Xuefeng Liu Mingjia Shi Guogang Zhu Shaojie Tang 31 2 0 23 Jul 2024
The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning Xinghao Wu Xuefeng Liu Jianwei Niu Guogang Zhu Shaojie Tang Xiaotian Li Jiannong Cao FedML 27 3 0 22 Jul 2024
Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training Sunwoo Lee Tuo Zhang Saurav Prakash Yue Niu Salman Avestimehr FedML 21 4 0 21 Jun 2024
FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning Jiaxing Qi Zhongzhi Luan Shaohan Huang Carol J. Fung Hailong Yang Depei Qian 32 12 0 12 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
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
Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification Baris Büyüktas Kenneth Weitzel Sebastian Völkers Felix Zailskas Begum Demir 31 4 0 24 May 2024
Federated Online Adaptation for Deep Stereo Matteo Poggi Fabio Tosi FedML 26 9 0 23 May 2024
Harmonizing Generalization and Personalization in Federated Prompt Learning Tianyu Cui Hongxia Li Jingya Wang Ye-ling Shi FedML VLM 27 8 0 16 May 2024
Distributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection Lisang Zhou Meng Wang N. Zhou FedML 66 30 0 15 Apr 2024
Communication-Efficient Model Aggregation with Layer Divergence Feedback in Federated Learning Liwei Wang Jun Li Wen Chen Qing-Bin Wu Ming Ding 35 1 0 12 Apr 2024
DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning Xu Yang Jiyuan Feng Songyue Guo Ye Wang Ye Ding Binxing Fang Qing Liao FedML 32 1 0 14 Mar 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning Ha Min Son M. Kim Tai-Myung Chung Chao Huang Xin Liu FedML 38 3 0 27 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
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 52 37 0 06 Jan 2024
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
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise Nannan Wu Zhaobin Sun Zengqiang Yan Li Yu FedML 20 11 0 20 Dec 2023
Hashmarks: Privacy-Preserving Benchmarks for High-Stakes AI Evaluation P. Bricman 19 0 0 01 Dec 2023
FedHCA $^2$ : Towards Hetero-Client Federated Multi-Task Learning Yuxiang Lu Suizhi Huang Yuwen Yang Shalayiding Sirejiding Yue Ding Hongtao Lu FedML 34 3 0 22 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 32 0 0 18 Nov 2023
Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification Baris Büyüktas Gencer Sumbul Begum Demir FedML 13 5 0 10 Nov 2023
Federated Class-Incremental Learning with Prompting Jiale Liu Yu-Wei Zhan Chong-Yu Zhang Xin Luo Zhen-Duo Chen Yinwei Wei CLL FedML 21 2 0 13 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
Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients Shourya Bose Kibaek Kim 19 4 0 22 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 11 17 0 20 Sep 2023
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization Xinyu Zhang Weiyu Sun Ying Chen FedML 28 5 0 13 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
ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations Xinpeng Ling Jie Fu Kuncan Wang Haitao Liu Zhili Chen FedML 22 2 0 21 Aug 2023
The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers Yulan Gao Zhaoxiang Hou Che-Sheng Yang Zengxiang Li Han Yu FedML 11 2 0 07 Aug 2023