ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2312.12263
  4. Cited By
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy
  Labels

FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels

19 December 2023
Jichang Li
Guanbin Li
Hui Cheng
Zicheng Liao
Yizhou Yu
    FedML
ArXivPDFHTML

Papers citing "FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels"

10 / 10 papers shown
Title
FedPCA: Noise-Robust Fair Federated Learning via Performance-Capacity Analysis
Nannan Wu
Zengqiang Yan
Nong Sang
Li Yu
Chang Wen Chen
43
0
0
13 Mar 2025
Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning
Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning
Hanxuan Wang
Na Lu
Xueying Zhao
Yuxuan Yan
Kaipeng Ma
Kwoh Chee Keong
Gustavo Carneiro
NoLa
52
0
0
22 Feb 2025
Learning Locally, Revising Globally: Global Reviser for Federated
  Learning with Noisy Labels
Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels
Yuxin Tian
Mouxing Yang
Yuhao Zhou
Jian Wang
Qing Ye
Tongliang Liu
Gang Niu
Jiancheng Lv
FedML
53
0
0
30 Nov 2024
Granular-ball Representation Learning for Deep CNN on Learning with
  Label Noise
Granular-ball Representation Learning for Deep CNN on Learning with Label Noise
Dawei Dai
Hao Zhu
Shuyin Xia
Guoyin Wang
SSL
16
1
0
05 Sep 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive
  Survey and Challenges
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges
Yanli Li
Zhongliang Guo
Nan Yang
Huaming Chen
Dong Yuan
Weiping Ding
FedML
16
1
0
09 Jul 2024
Learning Background Prompts to Discover Implicit Knowledge for Open
  Vocabulary Object Detection
Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection
Jiaming Li
Jiacheng Zhang
Jichang Li
Ge Li
Si Liu
Liang Lin
Guanbin Li
ObjD
VLM
40
12
0
01 Jun 2024
AlignSAM: Aligning Segment Anything Model to Open Context via
  Reinforcement Learning
AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning
Duojun Huang
Xinyu Xiong
Jie Ma
Jichang Li
Zequn Jie
Lin Ma
Guanbin Li
VLM
44
11
0
01 Jun 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
Chuan Chen
Tianchi Liao
Xiaojun Deng
Zihou Wu
Sheng Huang
Zibin Zheng
FedML
34
2
0
16 May 2024
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation
Jichang Li
Guanbin Li
Yizhou Yu
41
12
0
21 Jan 2024
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
Jichang Li
Guanbin Li
Yemin Shi
Yizhou Yu
61
116
0
19 Apr 2021
1