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2012.13900
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Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models
27 December 2020
Ruiyuan Wu
Anna Scaglione
Hoi-To Wai
Nurullah Karakoç
Kari Hreinsson
Wing-Kin Ma
FedML
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Papers citing
"Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models"
15 / 15 papers shown
Title
Graph Learning Across Data Silos
Xiang Zhang
Qiao Wang
99
1
0
17 Jan 2023
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework
Qiong Wu
Kaiwen He
Xu Chen
41
282
0
25 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach
Alireza Fallah
Aryan Mokhtari
Asuman Ozdaglar
FedML
136
566
0
19 Feb 2020
Federated Learning with Personalization Layers
Manoj Ghuhan Arivazhagan
V. Aggarwal
Aaditya Kumar Singh
Sunav Choudhary
FedML
57
824
0
02 Dec 2019
Improving Federated Learning Personalization via Model Agnostic Meta Learning
Yihan Jiang
Jakub Konecný
Keith Rush
Sreeram Kannan
FedML
52
598
0
27 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
FedML
83
4,470
0
21 Aug 2019
Towards Federated Learning at Scale: System Design
Keith Bonawitz
Hubert Eichner
W. Grieskamp
Dzmitry Huba
A. Ingerman
...
H. B. McMahan
Timon Van Overveldt
David Petrou
Daniel Ramage
Jason Roselander
FedML
80
2,652
0
04 Feb 2019
Agnostic Federated Learning
M. Mohri
Gary Sivek
A. Suresh
FedML
82
928
0
01 Feb 2019
Federated Optimization in Heterogeneous Networks
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
FedML
83
5,105
0
14 Dec 2018
Stochastic Gradient Push for Distributed Deep Learning
Mahmoud Assran
Nicolas Loizou
Nicolas Ballas
Michael G. Rabbat
51
342
0
27 Nov 2018
Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization
A. Nedić
Alexander Olshevsky
Michael G. Rabbat
45
507
0
26 Sep 2017
Federated Multi-Task Learning
Virginia Smith
Chao-Kai Chiang
Maziar Sanjabi
Ameet Talwalkar
FedML
83
1,791
0
30 May 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
226
17,235
0
17 Feb 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.2K
192,638
0
10 Dec 2015
Deep learning with Elastic Averaging SGD
Sixin Zhang
A. Choromańska
Yann LeCun
FedML
42
609
0
20 Dec 2014
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