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Convergence Time Optimization for Federated Learning over Wireless
  Networks

Convergence Time Optimization for Federated Learning over Wireless Networks

22 January 2020
Mingzhe Chen
H. Vincent Poor
Walid Saad
Shuguang Cui
ArXivPDFHTML

Papers citing "Convergence Time Optimization for Federated Learning over Wireless Networks"

17 / 17 papers shown
Title
Federated Learning-Distillation Alternation for Resource-Constrained IoT
Federated Learning-Distillation Alternation for Resource-Constrained IoT
Rafael Valente da Silva
Onel L. A. López
R. D. Souza
7
0
0
26 May 2025
Energy Efficient Federated Learning Over Wireless Communication Networks
Energy Efficient Federated Learning Over Wireless Communication Networks
Zhaohui Yang
Mingzhe Chen
Walid Saad
Choong Seon Hong
M. Shikh-Bahaei
40
684
0
06 Nov 2019
Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power
  Edge Intelligence
Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence
N. Skatchkovsky
Hyeryung Jang
Osvaldo Simeone
FedML
15
36
0
21 Oct 2019
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
46
1,181
0
17 Sep 2019
Federated Learning for Wireless Communications: Motivation,
  Opportunities and Challenges
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges
Solmaz Niknam
Harpreet S. Dhillon
J. H. Reed
43
600
0
30 Jul 2019
Accelerating DNN Training in Wireless Federated Edge Learning Systems
Accelerating DNN Training in Wireless Federated Edge Learning Systems
Jinke Ren
Guanding Yu
Guangyao Ding
FedML
31
169
0
23 May 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
70
2,652
0
04 Feb 2019
Federated Optimization in Heterogeneous Networks
Federated Optimization in Heterogeneous Networks
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
FedML
76
5,105
0
14 Dec 2018
Wireless Network Intelligence at the Edge
Wireless Network Intelligence at the Edge
Jihong Park
S. Samarakoon
M. Bennis
Mérouane Debbah
75
519
0
07 Dec 2018
Joint Service Pricing and Cooperative Relay Communication for Federated
  Learning
Joint Service Pricing and Cooperative Relay Communication for Federated Learning
Shaohan Feng
Dusit Niyato
Ping Wang
Dong In Kim
Ying-Chang Liang
FedML
45
106
0
29 Nov 2018
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and
  Communication by Federated Learning
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning
Xiaofei Wang
Yiwen Han
Chenyang Wang
Qiyang Zhao
Xu Chen
Min Chen
28
801
0
19 Sep 2018
Towards an Intelligent Edge: Wireless Communication Meets Machine
  Learning
Towards an Intelligent Edge: Wireless Communication Meets Machine Learning
Guangxu Zhu
Dongzhu Liu
Yuqing Du
Changsheng You
Jun Zhang
Kaibin Huang
32
506
0
02 Sep 2018
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed
  Learning
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Tianyi Chen
G. Giannakis
Tao Sun
W. Yin
47
298
0
25 May 2018
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
197
1,692
0
14 Apr 2018
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
243
4,620
0
18 Oct 2016
Federated Optimization: Distributed Machine Learning for On-Device
  Intelligence
Federated Optimization: Distributed Machine Learning for On-Device Intelligence
Jakub Konecný
H. B. McMahan
Daniel Ramage
Peter Richtárik
FedML
87
1,886
0
08 Oct 2016
Hybrid Deterministic-Stochastic Methods for Data Fitting
Hybrid Deterministic-Stochastic Methods for Data Fitting
M. Friedlander
Mark Schmidt
89
387
0
13 Apr 2011
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