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

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

28 April 2022

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

17 / 17 papers shown

Title
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning Wujun Zhou Shu Ding Zechao Li Wei Wang FedML 24 0 0 15 May 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
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients Han Liang Ziwei Zhan Weijie Liu Xiaoxi Zhang Chee Wei Tan Xu Chen FedML 33 0 0 04 Nov 2024
The Key of Parameter Skew in Federated Learning Sifan Wang Junfeng Liao Ye Yuan Riquan Zhang FedML 41 0 0 21 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 52 0 0 23 Jul 2024
Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification Zhipeng Deng Yuqiao Yang Kenji Suzuki MedIm FedML 54 1 0 17 Jun 2024
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data Jiangming Shi Shanshan Zheng Xiangbo Yin Yang Lu Yuan Xie Yanyun Qu VLM FedML 49 10 0 14 Dec 2023
A Four-Pronged Defense Against Byzantine Attacks in Federated Learning Wei Wan Shengshan Hu Minghui Li Jianrong Lu Longling Zhang Leo Yu Zhang Hai Jin AAML FedML 42 20 0 07 Aug 2023
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification Marawan Elbatel Hualiang Wang Robert Martí Huazhu Fu Xiaomeng Li FedML 40 8 0 27 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 39 244 0 20 Jul 2023
FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning Chia-Hsiang Kao Yu-Chiang Frank Wang FedML 26 1 0 19 Jul 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 37 5 0 01 May 2023
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier Zexi Li Xinyi Shang Rui He Tao R. Lin Chao Wu FedML 47 54 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 43 5 0 25 Jan 2023
Towards Federated Long-Tailed Learning Zihan Chen Songshan Liu Hualiang Wang Howard H. Yang Tony Q.S. Quek Zuozhu Liu FedML 23 10 0 30 Jun 2022
FedSpeech: Federated Text-to-Speech with Continual Learning Ziyue Jiang Yi Ren Ming Lei Zhou Zhao FedML 98 24 0 14 Oct 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,217 0 01 Sep 2014