Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features

International Joint Conference on Artificial Intelligence (IJCAI), 2022

28 April 2022

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Papers citing "Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features"

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Title
FedSM: Robust Semantics-Guided Feature Mixup for Bias Reduction in Federated Learning with Long-Tail Data J. Zhang Yimeng Xu Shujie Li Feng Liang Haihan Duan Yanjie Dong Victor C.M. Leung Xiping Hu 96 0 0 31 Oct 2025
Owen Sampling Accelerates Contribution Estimation in Federated Learning Hossein KhademSohi Hadi Hemmati Jiayu Zhou Steve Drew FedML 151 0 0 28 Aug 2025
S2FGL: Spatial Spectral Federated Graph Learning Zihan Tan Suyuan Huang Guancheng Wan Wenke Huang He Li Mang Ye FedML 264 1 0 03 Jul 2025
Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed Environments Junming Liu Yanting Gao Siyuan Meng Yifei Sun Aoqi Wu Yufei Jin Yirong Chen Ding Wang Guosun Zeng 225 2 0 26 May 2025
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Wujun Zhou Shu Ding Hao Sun Wei Wang FedML 233 0 0 15 May 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client VectorsComputer Vision and Pattern Recognition (CVPR), 2025 Changlong Shi He Zhao Bingjie Zhang Mingyuan Zhou Dandan Guo Yi Chang 283 3 0 20 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 267 2 0 10 Mar 2025
CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model Shihao Hou Xinyi Shang Shreyank N Gowda Yang Lu Chao-Xiang Wu Yan Yan Hanzi Wang VLM 207 0 0 10 Mar 2025
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data Pei-Yau Weng Minh Hoang Lam M. Nguyen My T. Thai Tsui-Wei Weng T. Hoang FedML 303 10 0 27 Feb 2025
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant ClientsEuropean Conference on Artificial Intelligence (ECAI), 2024 Han Liang Ziwei Zhan Weijie Liu Xiaoxi Zhang Chee Wei Tan Xu Chen FedML 226 5 0 04 Nov 2024
FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed LearningAsian Conference on Machine Learning (ACML), 2024 Xiuhua Lu Peng Li Xuefeng Jiang FedML 216 5 0 18 Sep 2024
The Key of Parameter Skew in Federated Learning Sifan Wang Junfeng Liao Ye Yuan Riquan Zhang FedML 204 0 0 21 Aug 2024
Addressing Skewed Heterogeneity via Federated Prototype Rectification with PersonalizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 Shunxin Guo Hongsong Wang Shuxia Lin Zhiqiang Kou Xin Geng FedML 300 5 0 15 Aug 2024
Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense Qilei Li A. Abdelmoniem FedML AAML 148 0 0 05 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 221 1 0 04 Aug 2024
Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification Zhipeng Deng Yuqiao Yang Kenji Suzuki MedIm FedML 199 3 0 17 Jun 2024
Federated Cross-Training Learners for Robust Generalization under Data Heterogeneity Zhuang Qi Lei Meng Ruohan Zhang Yu Wang Xin Qi Xiangxu Meng Xiangxu Meng Qiang Yang FedML 386 4 0 30 May 2024
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed DataInternational Conference on Learning Representations (ICLR), 2024 Zikai Xiao Zihan Chen Liyinglan Liu Yang Feng Jian Wu Wanlu Liu Qiufeng Wang Howard H. Yang Zuo-Qiang Liu FedML 210 12 0 17 Jan 2024
Dynamic Heterogeneous Federated Learning with Multi-Level PrototypesPattern Recognition (Pattern Recogn.), 2023 Shunxin Guo Hongsong Wang Xin Geng FedML 189 14 0 15 Dec 2023
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification Marawan Elbatel Hualiang Wang Robert Martí Huazhu Fu Xuelong Li FedML 146 9 0 27 Jul 2023
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise HeterogeneityInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Nannan Wu Li Yu Xue Jiang Kwang-Ting Cheng Zengqiang Yan FedML 250 51 0 09 May 2023
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed ClassifierIEEE International Conference on Computer Vision (ICCV), 2023 Zexi Li Xinyi Shang Rui He Tao Lin Chao Wu FedML 345 71 0 17 Mar 2023
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning Wenkai Yang Deli Chen Hao Zhou Fandong Meng Jie Zhou Xu Sun FedML 233 7 0 25 Jan 2023
Tackling Data Heterogeneity in Federated Learning with Class PrototypesAAAI Conference on Artificial Intelligence (AAAI), 2022 Yutong Dai Sihao Lin Junnan Li Shelby Heinecke Lichao Sun Ran Xu FedML 217 129 0 06 Dec 2022
Towards Federated Long-Tailed Learning Zihan Chen Songshan Liu Hualiang Wang Howard H. Yang Tony Q.S. Quek Zuozhu Liu FedML 147 14 0 30 Jun 2022