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FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable
  Federated Learning

FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning

20 May 2024
Liuzhi Zhou
Yu He
Kun Zhai
Xiang Liu
Sen Liu
Jiabo He
Guangnan Ye
Yu-Gang Jiang
Hongfeng Chai
    FedML
ArXiv (abs)PDFHTML

Papers citing "FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning"

3 / 3 papers shown
Adaptive Federated Learning via Dynamical System Model
Adaptive Federated Learning via Dynamical System Model
Aayushya Agarwal
L. Pileggi
Gauri Joshi
FedML
137
0
0
05 Oct 2025
Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review
Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review
Mrinmay Sen
Shruti Aparna
Rohit Agarwal
C Krishna Mohan
FedML
359
0
0
03 Jun 2025
MuLoCo: Muon is a practical inner optimizer for DiLoCo
MuLoCo: Muon is a practical inner optimizer for DiLoCo
Benjamin Thérien
Xiaolong Huang
Irina Rish
Eugene Belilovsky
MoE
170
6
0
29 May 2025
1
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