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1909.06335
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Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
13 September 2019
T. Hsu
Qi
Matthew Brown
FedML
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ArXiv
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Papers citing
"Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification"
9 / 209 papers shown
Title
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data
N. Mhaisen
Alaa Awad
Amr M. Mohamed
A. Erbad
M. Guizani
FedML
50
12
0
10 Dec 2020
Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits
Taehyeon Kim
Sangmin Bae
Jin-woo Lee
Se-Young Yun
FedML
21
15
0
06 Dec 2020
Can Federated Learning Save The Planet?
Xinchi Qiu
Titouan Parcollet
Daniel J. Beutel
Taner Topal
Akhil Mathur
Nicholas D. Lane
23
78
0
13 Oct 2020
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies
Yae Jee Cho
Jianyu Wang
Gauri Joshi
FedML
33
400
0
03 Oct 2020
Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data
Qianqian Tong
Guannan Liang
J. Bi
FedML
33
27
0
14 Sep 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
Jianyu Wang
Qinghua Liu
Hao Liang
Gauri Joshi
H. Vincent Poor
MoMe
FedML
16
1,297
0
15 Jul 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies
David Enthoven
Zaid Al-Ars
FedML
60
50
0
01 Apr 2020
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
Richeng Jin
Yufan Huang
Xiaofan He
H. Dai
Tianfu Wu
FedML
22
63
0
25 Feb 2020
Differentially Private Learning with Adaptive Clipping
Galen Andrew
Om Thakkar
H. B. McMahan
Swaroop Ramaswamy
FedML
19
330
0
09 May 2019
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