FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data

17 January 2024

Papers citing "FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data"

24 / 24 papers shown

Title
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 51 11 0 11 Oct 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 63 8 0 27 Jul 2023
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection Jiawei Ma Yulei Niu Jincheng Xu Shiyuan Huang G. Han Shih-Fu Chang ObjD 69 36 0 16 Mar 2023
Tackling Data Heterogeneity in Federated Learning with Class Prototypes Yutong Dai Zhenpeng Chen Junnan Li Shelby Heinecke Lichao Sun Ran Xu FedML 63 82 0 06 Dec 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold Can Yaras Peng Wang Zhihui Zhu Laura Balzano Qing Qu 41 44 0 19 Sep 2022
Federated Learning with Label Distribution Skew via Logits Calibration Jie M. Zhang Zhiqi Li Yue Liu Jianghe Xu Shuang Wu Shouhong Ding Chao Wu FedML 58 142 0 01 Sep 2022
FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation Xinyi Shang Yang Lu Y. Cheung Hanzi Wang FedML 58 35 0 30 Apr 2022
Proper Reuse of Image Classification Features Improves Object Detection C. N. Vasconcelos Vighnesh Birodkar Vincent Dumoulin VLM 57 32 0 01 Apr 2022
An Unconstrained Layer-Peeled Perspective on Neural Collapse Wenlong Ji Yiping Lu Yiliang Zhang Zhun Deng Weijie J. Su 159 86 0 06 Oct 2021
GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization Yen-hsiu Chou linda Qiao Chenxi Sun D. Cai Moxian Song Hongyan Li FedML 46 10 0 31 Aug 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 297 855 0 01 Mar 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 259 802 0 15 Feb 2021
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao Jie Ding Vahid Tarokh FedML 94 550 0 03 Oct 2020
Prevalence of Neural Collapse during the terminal phase of deep learning training Vardan Papyan Xuemei Han D. Donoho 131 563 0 18 Aug 2020
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax Yu Li Tao Wang Bingyi Kang Sheng Tang Chunfeng Wang Jintao Li Jiashi Feng 129 265 0 18 Jun 2020
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles Zhennan Wang Canqun Xiang Wenbin Zou Chen Xu 53 19 0 06 Jun 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 286 549 0 30 Mar 2020
Federated Learning with Personalization Layers Manoj Ghuhan Arivazhagan V. Aggarwal Aaditya Kumar Singh Sunav Choudhary FedML 77 826 0 02 Dec 2019
FedMD: Heterogenous Federated Learning via Model Distillation Daliang Li Junpu Wang FedML 84 845 0 08 Oct 2019
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare Yiqiang Chen Jindong Wang Chaohui Yu Wen Gao Xin Qin FedML 69 712 0 22 Jul 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 97 1,583 0 18 Jun 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 134 1,148 0 10 Apr 2019
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 183 3,433 0 09 Mar 2018
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 251 17,328 0 17 Feb 2016