Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1909.06335
Cited By
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
13 September 2019
T. Hsu
Qi
Matthew Brown
FedML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification"
13 / 613 papers shown
Title
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
Jianyu Wang
Qinghua Liu
Hao Liang
Gauri Joshi
H. Vincent Poor
MoMe
FedML
18
1,304
0
15 Jul 2020
On the Outsized Importance of Learning Rates in Local Update Methods
Zachary B. Charles
Jakub Konecný
FedML
24
54
0
02 Jul 2020
Ensemble Distillation for Robust Model Fusion in Federated Learning
Tao R. Lin
Lingjing Kong
Sebastian U. Stich
Martin Jaggi
FedML
19
1,017
0
12 Jun 2020
Continual Local Training for Better Initialization of Federated Models
Xin Yao
Lifeng Sun
FedML
19
71
0
26 May 2020
Training Keyword Spotting Models on Non-IID Data with Federated Learning
Andrew Straiton Hard
Kurt Partridge
Cameron Nguyen
Niranjan A. Subrahmanya
Aishanee Shah
Pai Zhu
Ignacio López Moreno
Rajiv Mathews
OOD
FedML
22
63
0
21 May 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies
David Enthoven
Zaid Al-Ars
FedML
60
50
0
01 Apr 2020
Federated Visual Classification with Real-World Data Distribution
T. Hsu
Qi
Matthew Brown
FedML
25
199
0
18 Mar 2020
Adaptive Federated Optimization
Sashank J. Reddi
Zachary B. Charles
Manzil Zaheer
Zachary Garrett
Keith Rush
Jakub Konecný
Sanjiv Kumar
H. B. McMahan
FedML
58
1,395
0
29 Feb 2020
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
Richeng Jin
Yufan Huang
Xiaofan He
H. Dai
Tianfu Wu
FedML
27
62
0
25 Feb 2020
Salvaging Federated Learning by Local Adaptation
Tao Yu
Eugene Bagdasaryan
Vitaly Shmatikov
FedML
25
261
0
12 Feb 2020
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedML
AI4CE
76
6,103
0
10 Dec 2019
Global Momentum Compression for Sparse Communication in Distributed Learning
Chang-Wei Shi
Shen-Yi Zhao
Yin-Peng Xie
Hao Gao
Wu-Jun Li
33
1
0
30 May 2019
Differentially Private Learning with Adaptive Clipping
Galen Andrew
Om Thakkar
H. B. McMahan
Swaroop Ramaswamy
FedML
30
331
0
09 May 2019
Previous
1
2
3
...
11
12
13