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Accelerating DNN Training in Wireless Federated Edge Learning Systems

Accelerating DNN Training in Wireless Federated Edge Learning Systems

23 May 2019
Jinke Ren
Guanding Yu
Guangyao Ding
    FedML
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Papers citing "Accelerating DNN Training in Wireless Federated Edge Learning Systems"

16 / 16 papers shown
Title
Client Selection for Federated Bayesian Learning
Client Selection for Federated Bayesian Learning
Jiarong Yang
Yuan Liu
Rahif Kassab
FedML
29
11
0
11 Dec 2022
Joint Optimization of Energy Consumption and Completion Time in
  Federated Learning
Joint Optimization of Energy Consumption and Completion Time in Federated Learning
Xinyu Zhou
Jun Zhao
Huimei Han
C. Guet
FedML
43
27
0
29 Sep 2022
Trustworthy Federated Learning via Blockchain
Trustworthy Federated Learning via Blockchain
Zhanpeng Yang
Yuanming Shi
Yong Zhou
Zixin Wang
Kai Yang
32
68
0
13 Aug 2022
Personalized Federated Learning with Exact Stochastic Gradient Descent
Personalized Federated Learning with Exact Stochastic Gradient Descent
Sotirios Nikoloutsopoulos
I. Koutsopoulos
Michalis K. Titsias
FedML
23
9
0
20 Feb 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and
  Applications
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief
Yuanming Shi
Jianmin Lu
Jianhua Lu
32
416
0
24 Nov 2021
Resource-constrained Federated Edge Learning with Heterogeneous Data:
  Formulation and Analysis
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis
Yi Liu
Yuanshao Zhu
James J. Q. Yu
FedML
19
28
0
14 Oct 2021
Convergence Analysis and System Design for Federated Learning over
  Wireless Networks
Convergence Analysis and System Design for Federated Learning over Wireless Networks
Shuo Wan
Jiaxun Lu
Pingyi Fan
Yunfeng Shao
Chenghui Peng
Khaled B. Letaief
34
54
0
30 Apr 2021
Decentralized Inference with Graph Neural Networks in Wireless
  Communication Systems
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems
Mengyuan Lee
Guanding Yu
H. Dai
GNN
37
39
0
19 Apr 2021
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between
  Convergence and Power Transfer
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer
Qunsong Zeng
Yuqing Du
Kaibin Huang
24
35
0
24 Feb 2021
Blind Federated Edge Learning
Blind Federated Edge Learning
M. Amiri
T. Duman
Deniz Gunduz
Sanjeev R. Kulkarni
H. Vincent Poor
71
92
0
19 Oct 2020
Multi-Armed Bandit Based Client Scheduling for Federated Learning
Multi-Armed Bandit Based Client Scheduling for Federated Learning
Wenchao Xia
Tony Q. S. Quek
Kun Guo
Wanli Wen
Howard H. Yang
Hongbo Zhu
FedML
37
218
0
05 Jul 2020
Communication Efficient Federated Learning with Energy Awareness over
  Wireless Networks
Communication Efficient Federated Learning with Energy Awareness over Wireless Networks
Richeng Jin
Xiaofan He
H. Dai
24
25
0
15 Apr 2020
Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of
  Partitioned Edge Learning
Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning
Dingzhu Wen
M. Bennis
Kaibin Huang
24
48
0
10 Mar 2020
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient
  Hierarchical Federated Edge Learning
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning
Siqi Luo
Xu Chen
Qiong Wu
Zhi Zhou
Shuai Yu
FedML
12
339
0
26 Feb 2020
Convergence Time Optimization for Federated Learning over Wireless
  Networks
Convergence Time Optimization for Federated Learning over Wireless Networks
Mingzhe Chen
H. Vincent Poor
Walid Saad
Shuguang Cui
12
295
0
22 Jan 2020
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
144
1,685
0
14 Apr 2018
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