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. 2205.13462
  4. Cited By
FedBR: Improving Federated Learning on Heterogeneous Data via Local
  Learning Bias Reduction

FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction

26 May 2022
Yongxin Guo
Xiaoying Tang
Tao R. Lin
    FedML
ArXivPDFHTML

Papers citing "FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction"

10 / 10 papers shown
Title
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises
Reza Fotohi
Fereidoon Shams Aliee
Bahar Farahani
FedML
64
8
0
18 Feb 2025
Do We Really Need to Design New Byzantine-robust Aggregation Rules?
Do We Really Need to Design New Byzantine-robust Aggregation Rules?
Minghong Fang
Seyedsina Nabavirazavi
Zhuqing Liu
Wei Sun
S. Iyengar
Haibo Yang
AAML
OOD
73
4
0
29 Jan 2025
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
Yanbing Zhou
Xiangmou Qu
Chenlong You
Jiyang Zhou
Jingyue Tang
Xin Zheng
Chunmao Cai
Yingbo Wu
FedML
48
1
0
09 Jan 2025
FedImpro: Measuring and Improving Client Update in Federated Learning
FedImpro: Measuring and Improving Client Update in Federated Learning
Zhenheng Tang
Yonggang Zhang
S. Shi
Xinmei Tian
Tongliang Liu
Bo Han
Xiaowen Chu
FedML
11
13
0
10 Feb 2024
Think Twice Before Selection: Federated Evidential Active Learning for
  Medical Image Analysis with Domain Shifts
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts
Jiayi Chen
Benteng Ma
Hengfei Cui
Yong-quan Xia
OOD
FedML
25
12
0
05 Dec 2023
Towards Understanding and Mitigating Dimensional Collapse in
  Heterogeneous Federated Learning
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
Yujun Shi
Jian Liang
Wenqing Zhang
Vincent Y. F. Tan
Song Bai
FedML
56
55
0
01 Oct 2022
Test-Time Robust Personalization for Federated Learning
Test-Time Robust Personalization for Federated Learning
Liang Jiang
Tao R. Lin
FedML
OOD
TTA
72
41
0
22 May 2022
FedMM: Saddle Point Optimization for Federated Adversarial Domain
  Adaptation
FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation
Yan Shen
Jianguo Du
Hao Zhang
Benyu Zhang
Zhanghexuan Ji
Mingchen Gao
FedML
21
13
0
16 Oct 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
177
832
0
01 Mar 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
888
0
02 Mar 2020
1