Federated Learning with Label Distribution Skew via Logits Calibration

1 September 2022

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

33 / 83 papers shown

Title
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning Kangyang Luo Shuai Wang Y. Fu Xiang Li Yunshi Lan Minghui Gao FedML 23 23 0 24 Sep 2023
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving Eros Fani Marco Ciccone Barbara Caputo FedML 21 4 0 23 Sep 2023
A Comparative Evaluation of FedAvg and Per-FedAvg Algorithms for Dirichlet Distributed Heterogeneous Data Hamza Reguieg Mohammed El Hanjri Mohamed El-Kamili A. Kobbane FedML 20 7 0 03 Sep 2023
Rethinking Client Drift in Federated Learning: A Logit Perspective Yu-bao Yan Chun-Mei Feng Senior Member Ieee Wangmeng Zuo Senior Member Ieee Mang Ye Mong Goh Ping Li Rick Siow Lei Zhu F. I. C. L. Philip Chen FedML 42 8 0 20 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 37 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 24 1 0 19 Jul 2023
Federated Generative Learning with Foundation Models Jie Zhang Xiaohua Qi Bo-Lu Zhao FedML 39 21 0 28 Jun 2023
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning Yu-Hu Yan Lei Zhu FedML OOD 27 10 0 14 Jun 2023
Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning M.Yashwanth Gaurav Kumar Nayak Aryaveer Singh Yogesh Singh Anirban Chakraborty FedML 24 1 0 31 May 2023
pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning Jiahao Tan Yipeng Zhou Gang Liu Jessie Hui Wang Shui Yu FedML 22 13 0 25 May 2023
Generalized Universal Domain Adaptation with Generative Flow Networks Didi Zhu Yinchuan Li Yunfeng Shao Jianye Hao Fei Wu Kun Kuang Jun Xiao Chao Wu AI4CE OOD 42 16 0 08 May 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 35 5 0 01 May 2023
Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization Rong Pan Jianzong Wang Lingwei Kong Zhangcheng Huang Jing Xiao FedML 35 2 0 23 Apr 2023
MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence Yu Qiao M. S. Munir Apurba Adhikary Huy Q. Le Avi Deb Raha Chaoning Zhang Choong Seon Hong 25 28 0 01 Apr 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 44 54 0 17 Mar 2023
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation Jie M. Zhang Chen Chen Weiming Zhuang Lingjuan Lv CLL FedML 33 45 0 13 Mar 2023
Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout Jian Xu Mei Yang Wenbo Ding Shao-Lun Huang FedML 17 3 0 11 Mar 2023
Delving into the Adversarial Robustness of Federated Learning Jie M. Zhang Bo-wen Li Chen Chen Lingjuan Lyu Shuang Wu Shouhong Ding Chao Wu FedML 38 34 0 19 Feb 2023
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association Qiong Wu Xu Chen Ouyang Tao Zhi Zhou Xiaoxi Zhang Shusen Yang Junshan Zhang 37 44 0 16 Jan 2023
Contrast with Major Classifier Vectors for Federated Medical Relation Extraction with Heterogeneous Label Distribution Chunhui Du Hao He Yaohui Jin 8 2 0 13 Jan 2023
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization Jiafeng Wang Zhaoyu Chen Kaixun Jiang Dingkang Yang Lingyi Hong Pinxue Guo Yan Wang Wenqiang Zhang AAML 26 27 0 21 Nov 2022
VarietySound: Timbre-Controllable Video to Sound Generation via Unsupervised Information Disentanglement Chenye Cui Yi Ren Jinglin Liu Rongjie Huang Zhou Zhao VGen 30 14 0 19 Nov 2022
FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data Tailin Zhou Jun Zhang Danny H. K. Tsang FedML 20 57 0 17 Nov 2022
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification Nannan Wu Li Yu Xin Yang Kwang-Ting Cheng Zengqiang Yan FedML 32 19 0 28 Jun 2022
CalFAT: Calibrated Federated Adversarial Training with Label Skewness Chen Chen Yuchen Liu Xingjun Ma Lingjuan Lyu FedML 164 32 0 30 May 2022
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence Arvin Tashakori Wenwen Zhang Z. Jane Wang Peyman Servati 22 19 0 15 Mar 2022
Communication-Efficient Federated Learning with Accelerated Client Gradient Geeho Kim Jinkyu Kim Bohyung Han FedML 40 11 0 10 Jan 2022
DENSE: Data-Free One-Shot Federated Learning Jie M. Zhang Chen Chen Bo-wen Li Lingjuan Lyu Shuang Wu Shouhong Ding Chunhua Shen Chao Wu FedML DD 31 104 0 23 Dec 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 787 0 15 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 92 946 0 03 Feb 2021
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 163 25,256 0 09 Jun 2011