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. 2305.07845
  4. Cited By
Understanding and Improving Model Averaging in Federated Learning on
  Heterogeneous Data

Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data

13 May 2023
Tailin Zhou
Zehong Lin
Jinchao Zhang
Danny H. K. Tsang
    MoMe
    FedML
ArXivPDFHTML

Papers citing "Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data"

10 / 10 papers shown
Title
A Survey of What to Share in Federated Learning: Perspectives on Model
  Utility, Privacy Leakage, and Communication Efficiency
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency
Jiawei Shao
Zijian Li
Wenqiang Sun
Tailin Zhou
Yuchang Sun
Lumin Liu
Zehong Lin
Yuyi Mao
Jun Zhang
FedML
26
22
0
20 Jul 2023
Revisiting Weighted Aggregation in Federated Learning with Neural
  Networks
Revisiting Weighted Aggregation in Federated Learning with Neural Networks
Zexi Li
Tao R. Lin
Xinyi Shang
Chao-Xiang Wu
FedML
35
59
0
14 Feb 2023
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients
  via Secret Data Sharing
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing
Jiawei Shao
Yuchang Sun
Songze Li
Jun Zhang
OOD
16
37
0
06 Oct 2022
Diverse Weight Averaging for Out-of-Distribution Generalization
Diverse Weight Averaging for Out-of-Distribution Generalization
Alexandre Ramé
Matthieu Kirchmeyer
Thibaud Rahier
A. Rakotomamonjy
Patrick Gallinari
Matthieu Cord
OOD
188
128
0
19 May 2022
Gradient Masked Averaging for Federated Learning
Gradient Masked Averaging for Federated Learning
Irene Tenison
Sai Aravind Sreeramadas
Vaikkunth Mugunthan
Edouard Oyallon
Irina Rish
Eugene Belilovsky
FedML
66
24
0
28 Jan 2022
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
173
410
0
14 Jul 2021
SWAD: Domain Generalization by Seeking Flat Minima
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha
Sanghyuk Chun
Kyungjae Lee
Han-Cheol Cho
Seunghyun Park
Yunsung Lee
Sungrae Park
MoMe
216
422
0
17 Feb 2021
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
784
0
15 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Q. Li
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
85
943
0
03 Feb 2021
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home
  Health Monitoring
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring
Qiong Wu
Xu Chen
Zhi Zhou
Junshan Zhang
FedML
150
269
0
14 Dec 2020
1