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Enhancing Convergence in Federated Learning: A Contribution-Aware
  Asynchronous Approach

Enhancing Convergence in Federated Learning: A Contribution-Aware Asynchronous Approach

16 February 2024
Changxin Xu
Yuxin Qiao
Zhanxin Zhou
Fanghao Ni
Jize Xiong
    FedML
ArXivPDFHTML

Papers citing "Enhancing Convergence in Federated Learning: A Contribution-Aware Asynchronous Approach"

2 / 2 papers shown
Title
Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning
Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning
Xi Chen
Qin Li
Haibin Cai
Ting Wang
52
0
0
28 Jan 2025
CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data
  Centers
CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers
Jieming Bian
Lei Wang
Shaolei Ren
Jie Xu
FedML
21
8
0
06 Nov 2023
1