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Heterogeneous Data-Aware Federated Learning

Heterogeneous Data-Aware Federated Learning

12 November 2020
Lixuan Yang
Cedric Beliard
Dario Rossi
    FedML
ArXivPDFHTML

Papers citing "Heterogeneous Data-Aware Federated Learning"

11 / 11 papers shown
Title
Think Locally, Act Globally: Federated Learning with Local and Global
  Representations
Think Locally, Act Globally: Federated Learning with Local and Global Representations
Paul Pu Liang
Terrance Liu
Liu Ziyin
Nicholas B. Allen
Randy P. Auerbach
David Brent
Ruslan Salakhutdinov
Louis-Philippe Morency
FedML
75
554
0
06 Jan 2020
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task
  Optimization under Privacy Constraints
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
Felix Sattler
K. Müller
Wojciech Samek
FedML
118
982
0
04 Oct 2019
Fair Resource Allocation in Federated Learning
Fair Resource Allocation in Federated Learning
Tian Li
Maziar Sanjabi
Ahmad Beirami
Virginia Smith
FedML
110
793
0
25 May 2019
Agnostic Federated Learning
Agnostic Federated Learning
M. Mohri
Gary Sivek
A. Suresh
FedML
82
928
0
01 Feb 2019
LEAF: A Benchmark for Federated Settings
LEAF: A Benchmark for Federated Settings
S. Caldas
Sai Meher Karthik Duddu
Peter Wu
Tian Li
Jakub Konecný
H. B. McMahan
Virginia Smith
Ameet Talwalkar
FedML
96
1,410
0
03 Dec 2018
Communication-Efficient On-Device Machine Learning: Federated
  Distillation and Augmentation under Non-IID Private Data
Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data
Eunjeong Jeong
Seungeun Oh
Hyesung Kim
Jihong Park
M. Bennis
Seong-Lyun Kim
FedML
52
596
0
28 Nov 2018
Federated Learning with Non-IID Data
Federated Learning with Non-IID Data
Yue Zhao
Meng Li
Liangzhen Lai
Naveen Suda
Damon Civin
Vikas Chandra
FedML
134
2,547
0
02 Jun 2018
Large scale distributed neural network training through online
  distillation
Large scale distributed neural network training through online distillation
Rohan Anil
Gabriel Pereyra
Alexandre Passos
Róbert Ormándi
George E. Dahl
Geoffrey E. Hinton
FedML
314
405
0
09 Apr 2018
EMNIST: an extension of MNIST to handwritten letters
EMNIST: an extension of MNIST to handwritten letters
Gregory Cohen
Saeed Afshar
J. Tapson
André van Schaik
25
716
0
17 Feb 2017
Federated Learning: Strategies for Improving Communication Efficiency
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konecný
H. B. McMahan
Felix X. Yu
Peter Richtárik
A. Suresh
Dave Bacon
FedML
267
4,620
0
18 Oct 2016
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
123
8,309
0
06 Nov 2014
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