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Accelerating Federated Learning in Heterogeneous Data and Computational
  Environments

Accelerating Federated Learning in Heterogeneous Data and Computational Environments

25 August 2020
Dimitris Stripelis
J. Ambite
    FedML
ArXivPDFHTML

Papers citing "Accelerating Federated Learning in Heterogeneous Data and Computational Environments"

5 / 5 papers shown
Title
Federated Learning over Harmonized Data Silos
Federated Learning over Harmonized Data Silos
Dimitris Stripelis
J. Ambite
FedML
23
2
0
15 May 2023
Towards Multi-Objective Statistically Fair Federated Learning
Towards Multi-Objective Statistically Fair Federated Learning
Ninareh Mehrabi
Cyprien de Lichy
John McKay
C. He
William Campbell
FedML
30
9
0
24 Jan 2022
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
104
242
0
09 Sep 2021
Scaling Neuroscience Research using Federated Learning
Scaling Neuroscience Research using Federated Learning
Dimitris Stripelis
J. Ambite
Pradeep Lam
Paul M. Thompson
FedML
45
28
0
16 Feb 2021
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