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Taming Fat-Tailed ("Heavier-Tailed'' with Potentially Infinite Variance)
  Noise in Federated Learning

Taming Fat-Tailed ("Heavier-Tailed'' with Potentially Infinite Variance) Noise in Federated Learning

3 October 2022
Haibo Yang
Pei-Yuan Qiu
Jia Liu
    FedML
ArXivPDFHTML

Papers citing "Taming Fat-Tailed ("Heavier-Tailed'' with Potentially Infinite Variance) Noise in Federated Learning"

3 / 3 papers shown
Title
Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis
Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis
Zhijie Chen
Qiaobo Li
A. Banerjee
FedML
28
0
0
11 Nov 2024
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping
Jiaxing Li
Zihan Chen
Kai Fong Ernest Chong
Bikramjit Das
Tony Q. S. Quek
Howard H. Yang
26
0
0
23 Sep 2024
Version age-based client scheduling policy for federated learning
Version age-based client scheduling policy for federated learning
Xinyi Hu
Nikolaos Pappas
Howard H. Yang
28
3
0
08 Feb 2024
1