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Node Selection Toward Faster Convergence for Federated Learning on
  Non-IID Data

Node Selection Toward Faster Convergence for Federated Learning on Non-IID Data

14 May 2021
Hongda Wu
Ping Wang
    FedML
ArXivPDFHTML

Papers citing "Node Selection Toward Faster Convergence for Federated Learning on Non-IID Data"

12 / 12 papers shown
Title
HeteroSwitch: Characterizing and Taming System-Induced Data
  Heterogeneity in Federated Learning
HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning
Gyudong Kim
Mehdi Ghasemi
Soroush Heidari
Seungryong Kim
Young Geun Kim
S. Vrudhula
Carole-Jean Wu
34
1
0
07 Mar 2024
Straggler-resilient Federated Learning: Tackling Computation
  Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network
Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network
Student Member Ieee Hongda Wu
F. I. C. V. Ping Wang
Aswartha Narayana
FedML
44
1
0
16 Nov 2023
Energy-Aware Federated Learning with Distributed User Sampling and
  Multichannel ALOHA
Energy-Aware Federated Learning with Distributed User Sampling and Multichannel ALOHA
Rafael Valente da Silva
O. A. López
R. D. Souza
FedML
26
4
0
12 Sep 2023
A Survey of Federated Evaluation in Federated Learning
A Survey of Federated Evaluation in Federated Learning
Behnaz Soltani
Yipeng Zhou
Venus Haghighi
John C. S. Lui
FedML
33
12
0
14 May 2023
Dynamic Scheduling for Federated Edge Learning with Streaming Data
Dynamic Scheduling for Federated Edge Learning with Streaming Data
Chung-Hsuan Hu
Zheng Chen
Erik G. Larsson
24
4
0
02 May 2023
Federated Learning with Flexible Control
Federated Learning with Flexible Control
Shiqiang Wang
Jake B. Perazzone
Mingyue Ji
Kevin S. Chan
FedML
28
17
0
16 Dec 2022
Client Selection in Federated Learning: Principles, Challenges, and
  Opportunities
Client Selection in Federated Learning: Principles, Challenges, and Opportunities
Lei Fu
Huan Zhang
Ge Gao
Mi Zhang
Xin Liu
FedML
32
115
0
03 Nov 2022
Meta Knowledge Condensation for Federated Learning
Meta Knowledge Condensation for Federated Learning
Ping Liu
Xin Yu
Qiufeng Wang
DD
FedML
30
28
0
29 Sep 2022
Federated Latent Class Regression for Hierarchical Data
Federated Latent Class Regression for Hierarchical Data
Bin Yang
T. Carette
Masanobu Jimbo
Shinya Maruyama
FedML
15
0
0
22 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing:
  Semantic Communication, Edge Computing, and Wireless Sensing
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
Wei Xu
Zhaohui Yang
Derrick Wing Kwan Ng
Marco Levorato
Yonina C. Eldar
Mérouane Debbah
28
398
0
01 Jun 2022
Convergence of Update Aware Device Scheduling for Federated Learning at
  the Wireless Edge
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge
M. Amiri
Deniz Gunduz
Sanjeev R. Kulkarni
H. Vincent Poor
92
170
0
28 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
1,687
0
14 Apr 2018
1