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Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data

Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data

Zihao Zhou
Yanan Li
Xuebin Ren
Shusen Yang
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Papers citing "Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data"

5 / 5 papers shown
Title
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments
Zehan Li
Yubo Yang
Tao Yang
X. Wu
Ziyu Guo
Bo Hu
69
0
0
03 Mar 2025
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks
Wenbin Zhai
Feng Wang
Lu Liu
Youwei Ding
Wanyi Lu
37
0
0
23 Aug 2023
Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity
Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity
Xu Han
Jun Li
Wen Chen
Zhen Mei
Kang Wei
Ming Ding
H. Vincent Poor
41
2
0
04 Aug 2023
Robust Fully-Asynchronous Methods for Distributed Training over General Architecture
Robust Fully-Asynchronous Methods for Distributed Training over General Architecture
Zehan Zhu
Ye Tian
Yan Huang
Jinming Xu
Shibo He
OOD
40
2
0
21 Jul 2023
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
348
10,246
0
16 Nov 2016