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Enhancing One-Shot Federated Learning Through Data and Ensemble
  Co-Boosting

Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting

23 February 2024
Rong Dai
Yonggang Zhang
Ang Li
Tongliang Liu
Xun Yang
Bo Han
    FedML
ArXivPDFHTML

Papers citing "Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting"

4 / 4 papers shown
Title
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions
Flora Amato
Lingyu Qiu
Mohammad Tanveer
S. Cuomo
F. Giampaolo
F. Piccialli
FedML
63
0
0
05 May 2025
Capture Global Feature Statistics for One-Shot Federated Learning
Zenghao Guan
Yucan Zhou
Xiaoyan Gu
FedML
65
0
0
10 Mar 2025
A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning
A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning
Jun Bai
Yiliao Song
Di Wu
Atul Sajjanhar
Yong Xiang
Wei Zhou
Xiaohui Tao
Yan Li
Y. Li
FedML
55
0
0
28 Oct 2024
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
177
9,332
0
28 May 2015
1