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FedABC: Targeting Fair Competition in Personalized Federated Learning

FedABC: Targeting Fair Competition in Personalized Federated Learning

AAAI Conference on Artificial Intelligence (AAAI), 2023
15 February 2023
Dui Wang
Li Shen
Yong Luo
Han Hu
Kehua Su
Yonggang Wen
Dacheng Tao
    FedML
ArXiv (abs)PDFHTML

Papers citing "FedABC: Targeting Fair Competition in Personalized Federated Learning"

5 / 5 papers shown
Title
OvA-LP: A Simple and Efficient Framework for Federated Learning on Non-IID Data
OvA-LP: A Simple and Efficient Framework for Federated Learning on Non-IID Data
Dongjin Park
Hasung Yeo
Joon-Woo Lee
FedML
258
0
0
07 Nov 2025
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation
Yongqian Li
Bo Liu
Sheng Huang
Zhe Zhang
Xiaotong Yuan
Richang Hong
303
1
0
31 Mar 2025
Decentralized Personalized Federated Learning based on a Conditional
  Sparse-to-Sparser Scheme
Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme
Qianyu Long
Qiyuan Wang
Christos Anagnostopoulos
Daning Bi
FedML
206
3
0
24 Apr 2024
Visual Prompt Based Personalized Federated Learning
Visual Prompt Based Personalized Federated Learning
Guang-Ming Li
Wansen Wu
Yan Sun
Li Shen
Baoyuan Wu
Dacheng Tao
FedMLVLM
150
18
0
15 Mar 2023
Fusion of Global and Local Knowledge for Personalized Federated Learning
Fusion of Global and Local Knowledge for Personalized Federated Learning
Tiansheng Huang
Li Shen
Yan Sun
Weiwei Lin
Dacheng Tao
FedML
167
16
0
21 Feb 2023
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