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Convergence Analysis and System Design for Federated Learning over
  Wireless Networks

Convergence Analysis and System Design for Federated Learning over Wireless Networks

30 April 2021
Shuo Wan
Jiaxun Lu
Pingyi Fan
Yunfeng Shao
Chenghui Peng
Khaled B. Letaief
ArXivPDFHTML

Papers citing "Convergence Analysis and System Design for Federated Learning over Wireless Networks"

5 / 5 papers shown
Title
Graph Neural Networks and Deep Reinforcement Learning Based Resource
  Allocation for V2X Communications
Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications
Maoxin Ji
Qiong Wu
Pingyi Fan
Nan Cheng
Wen Chen
Jiangzhou Wang
Khaled B. Letaief
GNN
24
16
0
09 Jul 2024
Random Orthogonalization for Federated Learning in Massive MIMO Systems
Random Orthogonalization for Federated Learning in Massive MIMO Systems
Xizixiang Wei
Cong Shen
Jing Yang
H. Vincent Poor
37
14
0
18 Oct 2022
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
177
1,014
0
29 Nov 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
136
1,663
0
14 Apr 2018
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
119
1,190
0
16 Aug 2016
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