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AsyncFedED: Asynchronous Federated Learning with Euclidean Distance
  based Adaptive Weight Aggregation

AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation

27 May 2022
Qiyuan Wang
Qianqian Yang
Shibo He
Zhiguo Shi
Jiming Chen
    FedML
ArXivPDFHTML

Papers citing "AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation"

5 / 5 papers shown
Title
Asynchronous Federated Stochastic Optimization for Heterogeneous
  Objectives Under Arbitrary Delays
Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays
Charikleia Iakovidou
Kibaek Kim
FedML
35
2
0
16 May 2024
FedAgg: Adaptive Federated Learning with Aggregated Gradients
FedAgg: Adaptive Federated Learning with Aggregated Gradients
Wenhao Yuan
Xuehe Wang
FedML
48
0
0
28 Mar 2023
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Chenhao Xu
Youyang Qu
Yong Xiang
Longxiang Gao
FedML
101
241
0
09 Sep 2021
New Convergence Aspects of Stochastic Gradient Algorithms
New Convergence Aspects of Stochastic Gradient Algorithms
Lam M. Nguyen
Phuong Ha Nguyen
Peter Richtárik
K. Scheinberg
Martin Takáč
Marten van Dijk
23
66
0
10 Nov 2018
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,687
0
14 Apr 2018
1