Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2011.06283
Cited By
Fed-Focal Loss for imbalanced data classification in Federated Learning
12 November 2020
D. Sarkar
Ankur Narang
Sumit Rai
FedML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Fed-Focal Loss for imbalanced data classification in Federated Learning"
24 / 24 papers shown
pFedBBN: A Personalized Federated Test-Time Adaptation with Balanced Batch Normalization for Class-Imbalanced Data
Md Akil Raihan Iftee
Syed Md. Ahnaf Hasan
Mir Sazzat Hossain
Rakibul Hasan Rajib
Amin Ahsan Ali
A. Rahman
Sajib Mistry
Monowar Bhuyan
FedML
309
0
0
22 Nov 2025
Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification
Yihang Wu
Ahmad Chaddad
VLM
FedML
MedIm
327
0
0
11 Nov 2025
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
164
1
0
31 Oct 2025
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives
Zhengyu Wu
Boyang Pang
Miao Hu
Yinlin Zhu
Daohan Su
Bowen Fan
Rong-Hua Li
Guoren Wang
Chenghu Zhou
FedML
332
1
0
14 Apr 2025
SAFE: Self-Adjustment Federated Learning Framework for Remote Sensing Collaborative Perception
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025
Xiaohe Li
Haohua Wu
Jiahao Li
Zide Fan
Kaixin Zhang
Xinming Li
Yunping Ge
Xinyu Zhao
245
2
0
25 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
343
0
0
10 Mar 2025
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications
bioRxiv (bioRxiv), 2024
Francesco Cremonesi
Lucia Innocenti
Sebastien Ourselin
Vicky Goh
Michela Antonelli
Marco Lorenzi
FedML
337
0
0
09 Dec 2024
FACMIC: Federated Adaptative CLIP Model for Medical Image Classification
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Yihang Wu
Christian Desrosiers
Ahmad Chaddad
VLM
350
14
0
08 Oct 2024
MLLM-FL: Multimodal Large Language Model Assisted Federated Learning on Heterogeneous and Long-tailed Data
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Jianyi Zhang
H. Yang
Ang Li
Xin Guo
Pu Wang
Haiming Wang
Yiran Chen
Hai Li
253
1
0
09 Sep 2024
Decoupled Federated Learning on Long-Tailed and Non-IID data with Feature Statistics
IEEE International Conference on Multimedia and Expo (ICME), 2024
Zhuoxin Chen
Zhenyu Wu
Yang Ji
FedML
149
3
0
13 Mar 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
390
15
0
14 Dec 2023
A Novel Plagiarism Detection Approach Combining BERT-based Word Embedding, Attention-based LSTMs and an Improved Differential Evolution Algorithm
Seyed Vahid Moravvej
Seyed Jalaleddin Mousavirad
Diego Oliva
F. Mohammadi
108
29
0
03 May 2023
A Survey on Class Imbalance in Federated Learning
Jing Zhang
Chuanwen Li
Jianzgong Qi
Jiayuan He
FedML
351
29
0
21 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
421
8
0
25 Jan 2023
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Nannan Wu
Li Yu
Xin Yang
Kwang-Ting Cheng
Zengqiang Yan
FedML
241
44
0
28 Jun 2022
FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation
IEEE International Conference on Multimedia and Expo (ICME), 2022
Xinyi Shang
Yang Lu
Yiu-ming Cheung
Hanzi Wang
FedML
256
47
0
30 Apr 2022
Improving the Robustness of Federated Learning for Severely Imbalanced Datasets
Debasrita Chakraborty
Ashish Ghosh
FedML
238
4
0
28 Apr 2022
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Xinyi Shang
Yang Lu
Gang Huang
Hanzi Wang
FedML
229
114
0
28 Apr 2022
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps
Xiaopeng Jiang
Han Hu
Vijaya Datta Mayyuri
An M. Chen
D. Shila
Adriaan Larmuseau
Ruoming Jin
Cristian Borcea
Nhathai Phan
FedML
262
17
0
17 Nov 2021
Federated Test-Time Adaptive Face Presentation Attack Detection with Dual-Phase Privacy Preservation
IEEE International Conference on Automatic Face & Gesture Recognition (FG), 2021
Rui Shao
Bochao Zhang
Pong C. Yuen
Vishal M. Patel
FedML
CVBM
PICV
181
13
0
25 Oct 2021
Federated Learning of Molecular Properties with Graph Neural Networks in a Heterogeneous Setting
Wei-wei Zhu
Jiebo Luo
Andrew D. White
FedML
360
49
0
15 Sep 2021
An Experimental Study of Class Imbalance in Federated Learning
IEEE Symposium Series on Computational Intelligence (SSCI), 2021
Chenguang Xiao
S. Wang
FedML
174
14
0
09 Sep 2021
Demystifying the Effects of Non-Independence in Federated Learning
Stefan Arnold
Dilara Yesilbas
FedML
152
4
0
20 Mar 2021
FedProf: Selective Federated Learning with Representation Profiling
Wentai Wu
Ligang He
Weiwei Lin
Carsten Maple
FedML
634
2
0
02 Feb 2021
1
Page 1 of 1
