Federated Learning with Label Distribution Skew via Logits Calibration

1 September 2022

Papers citing "Federated Learning with Label Distribution Skew via Logits Calibration"

50 / 83 papers shown

Title
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning Wujun Zhou Shu Ding ZeLin Li Wei Wang FedML 24 0 0 15 May 2025
Fair Federated Medical Image Classification Against Quality Shift via Inter-Client Progressive State Matching Nannan Wu Zhuo Kuang Zengqiang Yan Ping Wang Li Yu FedML 51 0 0 12 Mar 2025
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data Shanshan Yan Zexi Li Chao-Xiang Wu Meng Pang Yang Lu Yan Yan Hanzi Wang FedML 61 0 0 10 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 102 0 0 09 Mar 2025
Subgraph Federated Learning for Local Generalization Sungwon Kim Yoonho Lee Yunhak Oh Namkyeong Lee Sukwon Yun Junseok Lee Sein Kim Carl Yang Chanyoung Park FedML OOD 86 1 0 06 Mar 2025
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning S. Chowdhury Raju Halder FedML 40 0 0 31 Dec 2024
Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Di Yu Xin Du Linshan Jiang Shunwen Bai Wentao Tong Shuiguang Deng FedML 33 0 0 23 Dec 2024
Federated Unlearning Model Recovery in Data with Skewed Label Distributions Xinrui Yu Wenbin Pei Bing Xue Qiang Zhang FedML MU 84 1 0 18 Dec 2024
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Daniel Gutiérrez David Solans Mikko A. Heikkilä A. Vitaletti Nicolas Kourtellis Aris Anagnostopoulos I. Chatzigiannakis OOD 107 3 0 19 Nov 2024
Overcoming label shift in targeted federated learning Edvin Listo Zec Adam Breitholtz Fredrik D. Johansson FedML 42 0 0 06 Nov 2024
Masked Autoencoders are Parameter-Efficient Federated Continual Learners Yuchen He Xiangfeng Wang CLL FedML 35 0 0 04 Nov 2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework Yuchen He Chuyun Shen Xiangfeng Wang Bo Jin FedML 32 1 0 04 Nov 2024
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 49 6 0 27 Oct 2024
Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise Kyle Rui Sang Tahseen Rabbani Furong Huang FedML 36 0 0 20 Sep 2024
GAS: Generative Activation-Aided Asynchronous Split Federated Learning Jiarong Yang Yuan Liu 35 0 0 02 Sep 2024
Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization Shunxin Guo Hongsong Wang Shuxia Lin Zhiqiang Kou Xin Geng FedML 38 1 0 15 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 47 0 0 04 Aug 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 46 0 0 23 Jul 2024
Non-parametric regularization for class imbalance federated medical image classification Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 26 0 0 17 Jul 2024
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation Tong Xia Abhirup Ghosh Xinchi Qiu Cecilia Mascolo 27 3 0 13 Jun 2024
Regularizing and Aggregating Clients with Class Distribution for Personalized Federated Learning Gyuejeong Lee Daeyoung Choi 38 0 0 12 Jun 2024
Optimisation of federated learning settings under statistical heterogeneity variations Basem Suleiman M. J. Alibasa R. Purwanto Lewis Jeffries Ali Anaissi Jacky Song FedML 33 0 0 10 Jun 2024
Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learning Zhuang Qi Lei Meng Weihao He Ruohan Zhang Yu Wang Xin Qi Xiangxu Meng FedML 37 4 0 30 May 2024
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data Ziqing Fan Ruipeng Zhang Jiangchao Yao Bo Han Ya-Qin Zhang Yanfeng Wang FedML 34 12 0 29 May 2024
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing Yongxin Guo Lin Wang Xiaoying Tang Tao R. Lin FedML OOD 29 0 0 25 May 2024
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler Hongyi Peng Han Yu Xiaoli Tang Xiaoxiao Li 47 3 0 24 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 41 1 0 16 May 2024
SCALA: Split Federated Learning with Concatenated Activations and Logit Adjustments Jiarong Yang Yuan Liu FedML 39 2 0 08 May 2024
From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching Nannan Wu Zhuo Kuang Zengqiang Yan Li Yu FedML 34 4 0 27 Apr 2024
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis Zhuojia Wu Qi Zhang Duoqian Miao Kun Yi Wei Fan Liang Hu 29 1 0 18 Apr 2024
FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity Yu Qiao Huy Q. Le Mengchun Zhang Apurba Adhikary Chaoning Zhang Choong Seon Hong FedML 46 9 0 14 Apr 2024
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data Yu Qiao Chaoning Zhang Apurba Adhikary Choong Seon Hong FedML 33 7 0 10 Apr 2024
Towards Robust Federated Learning via Logits Calibration on Non-IID Data Yu Qiao Apurba Adhikary Chaoning Zhang Choong Seon Hong FedML 40 9 0 05 Mar 2024
Improving Group Connectivity for Generalization of Federated Deep Learning Zexi Li Jie Lin Zhiqi Li Didi Zhu Chao Wu AI4CE FedML 38 0 0 29 Feb 2024
Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks Tan Chen Jintao Yan Yuxuan Sun Sheng Zhou Deniz Gündüz Z. Niu FedML 40 7 0 18 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 Qiufeng Wang Howard H. Yang Zuo-Qiang Liu FedML 39 6 0 17 Jan 2024
Relaxed Contrastive Learning for Federated Learning Seonguk Seo Jinkyu Kim Geeho Kim Bohyung Han FedML 42 8 0 10 Jan 2024
Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning Kuangpu Guo Yuhe Ding Jian Liang Ran He Zilei Wang Tieniu Tan FedML 34 1 0 04 Jan 2024
FedMS: Federated Learning with Mixture of Sparsely Activated Foundations Models Panlong Wu Kangshuo Li Ting Wang Fangxin Wang FedML MoE 17 3 0 26 Dec 2023
Feature Norm Regularized Federated Learning: Transforming Skewed Distributions into Global Insights Ke Hu Weidong Qiu Peng Tang 30 0 0 12 Dec 2023
Exploiting Label Skews in Federated Learning with Model Concatenation Yiqun Diao Yue Liu Bingsheng He FedML 22 16 0 11 Dec 2023
FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning Lingzhi Gao Zexi Li Yang Lu Chao Wu 39 6 0 30 Nov 2023
Federated Skewed Label Learning with Logits Fusion Yuwei Wang Runhan Li Hao Tan Xue Jiang Sheng Sun Min Liu Bo Gao Zhiyuan Wu FedML 30 6 0 14 Nov 2023
Personalized Federated Learning via ADMM with Moreau Envelope Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Zhiyong Peng 28 0 0 12 Nov 2023
Adaptive Test-Time Personalization for Federated Learning Wenxuan Bao Tianxin Wei Haohan Wang Jingrui He TTA OOD 28 14 0 28 Oct 2023
Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition Sara Pieri Jose Renato Restom Samuel Horvath Hisham Cholakkal FedML 21 8 0 23 Oct 2023
FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning Ensiye Kiyamousavi Boris Kraychev Ivan Koychev FedML 8 0 0 11 Oct 2023
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer Zikai Xiao Zihan Chen Songshan Liu Hualiang Wang Yang Feng Jinxiang Hao Qiufeng Wang Jian Wu Howard H. Yang Zuo-Qiang Liu FedML 29 10 0 11 Oct 2023
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning Zhiqin Yang Yonggang Zhang Yuxiang Zheng Xinmei Tian Hao Peng Tongliang Liu Bo Han FedML 30 61 0 08 Oct 2023
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning Wenke Huang J. J. Valero-Mas Dasaem Jeong Bo Du FedML 35 44 0 28 Sep 2023