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Over-the-Air Federated Learning and Optimization

Over-the-Air Federated Learning and Optimization

16 October 2023
Jingyang Zhu
Yuanming Shi
Yong Zhou
Chunxiao Jiang
Wei Chen
Khaled B. Letaief
    FedML
ArXivPDFHTML

Papers citing "Over-the-Air Federated Learning and Optimization"

12 / 62 papers shown
Title
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
121
2,664
0
04 Feb 2019
Agnostic Federated Learning
Agnostic Federated Learning
M. Mohri
Gary Sivek
A. Suresh
FedML
127
934
0
01 Feb 2019
Broadband Analog Aggregation for Low-Latency Federated Edge Learning
  (Extended Version)
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version)
Guangxu Zhu
Yong Wang
Kaibin Huang
FedML
67
643
0
30 Dec 2018
Parallel Restarted SGD with Faster Convergence and Less Communication:
  Demystifying Why Model Averaging Works for Deep Learning
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning
Hao Yu
Sen Yang
Shenghuo Zhu
MoMe
FedML
73
605
0
17 Jul 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
53
298
0
25 May 2018
Local SGD Converges Fast and Communicates Little
Local SGD Converges Fast and Communicates Little
Sebastian U. Stich
FedML
166
1,061
0
24 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
242
1,706
0
14 Apr 2018
On the convergence properties of a $K$-step averaging stochastic
  gradient descent algorithm for nonconvex optimization
On the convergence properties of a KKK-step averaging stochastic gradient descent algorithm for nonconvex optimization
Fan Zhou
Guojing Cong
129
234
0
03 Aug 2017
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
394
17,468
0
17 Feb 2016
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic
  Programming
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming
Saeed Ghadimi
Guanghui Lan
ODL
120
1,549
0
22 Sep 2013
Hybrid Deterministic-Stochastic Methods for Data Fitting
Hybrid Deterministic-Stochastic Methods for Data Fitting
M. Friedlander
Mark Schmidt
196
387
0
13 Apr 2011
Distributed Parameter Estimation in Sensor Networks: Nonlinear
  Observation Models and Imperfect Communication
Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication
S. Kar
José M. F. Moura
K. Ramanan
151
468
0
29 Aug 2008
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