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Sample-based and Feature-based Federated Learning for Unconstrained and
  Constrained Nonconvex Optimization via Mini-batch SSCA

Sample-based and Feature-based Federated Learning for Unconstrained and Constrained Nonconvex Optimization via Mini-batch SSCA

13 April 2021
Ying Cui
Yangchen Li
Chencheng Ye
    FedML
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Papers citing "Sample-based and Feature-based Federated Learning for Unconstrained and Constrained Nonconvex Optimization via Mini-batch SSCA"

3 / 3 papers shown
Title
GQFedWAvg: Optimization-Based Quantized Federated Learning in General
  Edge Computing Systems
GQFedWAvg: Optimization-Based Quantized Federated Learning in General Edge Computing Systems
Yangchen Li
Ying Cui
Vincent K. N. Lau
FedML
25
3
0
13 Jun 2023
Optimization-based Block Coordinate Gradient Coding for Mitigating
  Partial Stragglers in Distributed Learning
Optimization-based Block Coordinate Gradient Coding for Mitigating Partial Stragglers in Distributed Learning
Qi Wang
Ying Cui
Chenglin Li
Junni Zou
H. Xiong
17
4
0
06 Jun 2022
An Optimization Framework for Federated Edge Learning
An Optimization Framework for Federated Edge Learning
Yangchen Li
Ying Cui
Vincent K. N. Lau
FedML
9
7
0
26 Nov 2021
1