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Dynamic Sampling and Selective Masking for Communication-Efficient
  Federated Learning

Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning

21 March 2020
Shaoxiong Ji
Wenqi Jiang
A. Walid
Xue Li
    FedML
ArXivPDFHTML

Papers citing "Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning"

13 / 13 papers shown
Title
FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing
FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing
Ming-Lun Lee
Han-Chang Chou
Yan-AnnChen
FedML
52
6
0
07 Apr 2025
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
Nurbek Tastan
Samuel Horváth
Martin Takáč
Karthik Nandakumar
FedML
86
0
0
03 Oct 2024
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and
  Domain Adaptation: ABIDE Results
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results
Xiaoxiao Li
Yufeng Gu
Nicha Dvornek
Lawrence H. Staib
P. Ventola
James S. Duncan
FedML
OOD
54
353
0
16 Jan 2020
A Joint Learning and Communications Framework for Federated Learning
  over Wireless Networks
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks
Mingzhe Chen
Zhaohui Yang
Walid Saad
Changchuan Yin
H. Vincent Poor
Shuguang Cui
FedML
61
1,181
0
17 Sep 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data
Robust and Communication-Efficient Federated Learning from Non-IID Data
Felix Sattler
Simon Wiedemann
K. Müller
Wojciech Samek
FedML
44
1,343
0
07 Mar 2019
Federated Machine Learning: Concept and Applications
Federated Machine Learning: Concept and Applications
Qiang Yang
Yang Liu
Tianjian Chen
Yongxin Tong
FedML
52
2,297
0
13 Feb 2019
Towards Federated Learning at Scale: System Design
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
88
2,652
0
04 Feb 2019
Agnostic Federated Learning
Agnostic Federated Learning
M. Mohri
Gary Sivek
A. Suresh
FedML
88
928
0
01 Feb 2019
Peer-to-peer Federated Learning on Graphs
Peer-to-peer Federated Learning on Graphs
Anusha Lalitha
O. Kilinc
T. Javidi
F. Koushanfar
OOD
FedML
93
184
0
31 Jan 2019
Learning Private Neural Language Modeling with Attentive Aggregation
Learning Private Neural Language Modeling with Attentive Aggregation
Shaoxiong Ji
Shirui Pan
Guodong Long
Xue Li
Jing Jiang
Zi Huang
FedML
MoMe
57
139
0
17 Dec 2018
Tying Word Vectors and Word Classifiers: A Loss Framework for Language
  Modeling
Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling
Hakan Inan
Khashayar Khosravi
R. Socher
85
384
0
04 Nov 2016
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
Using the Output Embedding to Improve Language Models
Using the Output Embedding to Improve Language Models
Ofir Press
Lior Wolf
51
731
0
20 Aug 2016
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