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Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback

Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback

28 December 2021
Boxin Zhao
Lingxiao Wang
Mladen Kolar
Ziqi Liu
Zhiqiang Zhang
Jun Zhou
Chaochao Chen
    FedML
ArXivPDFHTML

Papers citing "Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback"

6 / 6 papers shown
Title
Enhanced Federated Optimization: Adaptive Unbiased Sampling with Reduced
  Variance
Enhanced Federated Optimization: Adaptive Unbiased Sampling with Reduced Variance
Dun Zeng
Zenglin Xu
Yu Pan
Xu Luo
Qifan Wang
Xiaoying Tang
FedML
10
1
0
04 Oct 2023
Addressing Budget Allocation and Revenue Allocation in Data Market
  Environments Using an Adaptive Sampling Algorithm
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm
Boxin Zhao
Boxiang Lyu
Raul Castro Fernandez
Mladen Kolar
6
7
0
05 Jun 2023
DELTA: Diverse Client Sampling for Fasting Federated Learning
DELTA: Diverse Client Sampling for Fasting Federated Learning
Lung-Chuang Wang
Yongxin Guo
Tao R. Lin
Xiaoying Tang
FedML
8
20
0
27 May 2022
L-SVRG and L-Katyusha with Adaptive Sampling
L-SVRG and L-Katyusha with Adaptive Sampling
Boxin Zhao
Boxiang Lyu
Mladen Kolar
13
3
0
31 Jan 2022
An Adaptive Stochastic Sequential Quadratic Programming with
  Differentiable Exact Augmented Lagrangians
An Adaptive Stochastic Sequential Quadratic Programming with Differentiable Exact Augmented Lagrangians
Sen Na
M. Anitescu
Mladen Kolar
12
41
0
10 Feb 2021
Survey of Personalization Techniques for Federated Learning
Survey of Personalization Techniques for Federated Learning
V. Kulkarni
Milind Kulkarni
Aniruddha Pant
FedML
168
323
0
19 Mar 2020
1