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Learning Cautiously in Federated Learning with Noisy and Heterogeneous
  Clients

Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients

6 April 2023
Chen Wu
Zexi Li
Fang Wang
Chao Wu
    FedML
ArXivPDFHTML

Papers citing "Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients"

11 / 11 papers shown
Title
Robust Federated Learning with Confidence-Weighted Filtering and GAN-Based Completion under Noisy and Incomplete Data
Robust Federated Learning with Confidence-Weighted Filtering and GAN-Based Completion under Noisy and Incomplete Data
Alpaslan Gokcen
Ali Boyaci
FedML
43
0
0
14 May 2025
FNBench: Benchmarking Robust Federated Learning against Noisy Labels
FNBench: Benchmarking Robust Federated Learning against Noisy Labels
Xuefeng Jiang
Jia Li
Nannan Wu
Z. F. Wu
Xujing Li
Sheng Sun
Gang Xu
Yibo Wang
Qi Li
Min Liu
FedML
55
3
0
10 May 2025
Data Quality Control in Federated Instruction-tuning of Large Language Models
Data Quality Control in Federated Instruction-tuning of Large Language Models
Yaxin Du
Rui Ye
Fengting Yuchi
W. Zhao
Jingjing Qu
Yunhong Wang
Siheng Chen
ALM
FedML
53
0
0
15 Oct 2024
FedTSA: A Cluster-based Two-Stage Aggregation Method for
  Model-heterogeneous Federated Learning
FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning
Boyu Fan
Chenrui Wu
Xiang Su
Pan Hui
FedML
42
2
0
06 Jul 2024
Decoupling General and Personalized Knowledge in Federated Learning via
  Additive and Low-Rank Decomposition
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition
Xinghao Wu
Xuefeng Liu
Jianwei Niu
Haolin Wang
Shaojie Tang
Guogang Zhu
Hao Su
FedML
48
7
0
28 Jun 2024
FedMLP: Federated Multi-Label Medical Image Classification under Task
  Heterogeneity
FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
Zhaobin Sun
Nannan Wu
Junjie Shi
Li Yu
Xin Yang
Kwang-Ting Cheng
Zengqiang Yan
21
0
0
27 Jun 2024
Multi-level Personalized Federated Learning on Heterogeneous and
  Long-Tailed Data
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data
Rongyu Zhang
Yun Chen
Chenrui Wu
Fangxin Wang
Boyan Li
43
12
0
10 May 2024
FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art
  Commissions
FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art Commissions
Changjuan Ran
Yeting Guo
Fang Liu
Shenglan Cui
Yunfan Ye
FedML
23
1
0
25 Apr 2024
FediOS: Decoupling Orthogonal Subspaces for Personalization in
  Feature-skew Federated Learning
FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning
Lingzhi Gao
Zexi Li
Yang Lu
Chao Wu
39
6
0
30 Nov 2023
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
255
862
0
15 Oct 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
156
459
0
01 May 2021
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