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Stochastic, Distributed and Federated Optimization for Machine Learning

Stochastic, Distributed and Federated Optimization for Machine Learning

4 July 2017
Jakub Konecný
    FedML
ArXivPDFHTML

Papers citing "Stochastic, Distributed and Federated Optimization for Machine Learning"

5 / 5 papers shown
Title
Flashback: Understanding and Mitigating Forgetting in Federated Learning
Flashback: Understanding and Mitigating Forgetting in Federated Learning
Mohammed Aljahdali
A. Abdelmoniem
Marco Canini
Samuel Horváth
34
3
0
08 Feb 2024
Communication-Efficient Local Decentralized SGD Methods
Communication-Efficient Local Decentralized SGD Methods
Xiang Li
Wenhao Yang
Shusen Wang
Zhihua Zhang
30
53
0
21 Oct 2019
On the Convergence of FedAvg on Non-IID Data
On the Convergence of FedAvg on Non-IID Data
Xiang Li
Kaixuan Huang
Wenhao Yang
Shusen Wang
Zhihua Zhang
FedML
70
2,283
0
04 Jul 2019
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
90
737
0
19 Mar 2014
Optimal Distributed Online Prediction using Mini-Batches
Optimal Distributed Online Prediction using Mini-Batches
O. Dekel
Ran Gilad-Bachrach
Ohad Shamir
Lin Xiao
179
683
0
07 Dec 2010
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