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1812.01097
Cited By
LEAF: A Benchmark for Federated Settings
3 December 2018
S. Caldas
Sai Meher Karthik Duddu
Peter Wu
Tian Li
Jakub Konecný
H. B. McMahan
Virginia Smith
Ameet Talwalkar
FedML
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Papers citing
"LEAF: A Benchmark for Federated Settings"
20 / 270 papers shown
Title
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach
Pengchao Han
Shiqiang Wang
K. Leung
FedML
27
175
0
14 Jan 2020
FedDANE: A Federated Newton-Type Method
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
FedML
18
155
0
07 Jan 2020
Robust Aggregation for Federated Learning
Krishna Pillutla
Sham Kakade
Zaïd Harchaoui
FedML
35
629
0
31 Dec 2019
On the Convergence of Local Descent Methods in Federated Learning
Farzin Haddadpour
M. Mahdavi
FedML
19
266
0
31 Oct 2019
Abnormal Client Behavior Detection in Federated Learning
Suyi Li
Yong Cheng
Yang Liu
Wei Wang
Tianjian Chen
AAML
6
134
0
22 Oct 2019
Real-World Image Datasets for Federated Learning
Jiahuan Luo
Xueyang Wu
Yu Luo
Anbu Huang
Yunfeng Huang
Yang Liu
Qiang Yang
FedML
16
97
0
14 Oct 2019
FedMD: Heterogenous Federated Learning via Model Distillation
Daliang Li
Junpu Wang
FedML
16
830
0
08 Oct 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
Felix Sattler
K. Müller
Wojciech Samek
FedML
40
965
0
04 Oct 2019
The Non-IID Data Quagmire of Decentralized Machine Learning
Kevin Hsieh
Amar Phanishayee
O. Mutlu
Phillip B. Gibbons
6
556
0
01 Oct 2019
Improving Federated Learning Personalization via Model Agnostic Meta Learning
Yihan Jiang
Jakub Konecný
Keith Rush
Sreeram Kannan
FedML
8
586
0
27 Sep 2019
Model Pruning Enables Efficient Federated Learning on Edge Devices
Yuang Jiang
Shiqiang Wang
Victor Valls
Bongjun Ko
Wei-Han Lee
Kin K. Leung
Leandros Tassiulas
30
444
0
26 Sep 2019
Differentially Private Meta-Learning
Jeffrey Li
M. Khodak
S. Caldas
Ameet Talwalkar
FedML
25
106
0
12 Sep 2019
Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs
Xin Yao
Tianchi Huang
Chenglei Wu
Ruixiao Zhang
Lifeng Sun
FedML
13
38
0
16 Aug 2019
Variational Federated Multi-Task Learning
Luca Corinzia
Ami Beuret
J. M. Buhmann
FedML
19
159
0
14 Jun 2019
Adaptive Gradient-Based Meta-Learning Methods
M. Khodak
Maria-Florina Balcan
Ameet Talwalkar
FedML
16
353
0
06 Jun 2019
One-Shot Federated Learning
Neel Guha
Ameet Talwalkar
Virginia Smith
FedML
20
211
0
28 Feb 2019
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
Federated Meta-Learning with Fast Convergence and Efficient Communication
Fei Chen
Mi Luo
Zhenhua Dong
Zhenguo Li
Xiuqiang He
FedML
34
388
0
22 Feb 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
329
11,684
0
09 Mar 2017
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar
Hal Daumé
184
524
0
27 Jun 2012
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