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Analysis and Optimization of Wireless Federated Learning with Data
  Heterogeneity

Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity

4 August 2023
Xu Han
Jun Li
Wen Chen
Zhen Mei
Kang Wei
Ming Ding
H. Vincent Poor
ArXivPDFHTML

Papers citing "Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity"

7 / 7 papers shown
Title
Communication-Efficient Model Aggregation with Layer Divergence Feedback
  in Federated Learning
Communication-Efficient Model Aggregation with Layer Divergence Feedback in Federated Learning
Liwei Wang
Jun Li
Wen Chen
Qing-Bin Wu
Ming Ding
45
1
0
12 Apr 2024
Rethinking Resource Management in Edge Learning: A Joint Pre-training
  and Fine-tuning Design Paradigm
Rethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigm
Zhonghao Lyu
Yuchen Li
Guangxu Zhu
Jie Xu
H. Vincent Poor
Shuguang Cui
31
7
0
01 Apr 2024
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients
  via Secret Data Sharing
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing
Jiawei Shao
Yuchang Sun
Songze Li
Jun Zhang
OOD
27
37
0
06 Oct 2022
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
787
0
15 Feb 2021
Blockchain Assisted Decentralized Federated Learning (BLADE-FL):
  Performance Analysis and Resource Allocation
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation
Jun Li
Yumeng Shao
Kang Wei
Ming Ding
Chuan Ma
Long Shi
Zhu Han
Vincent Poor
FedML
63
150
0
18 Jan 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
Xiaoyu Cao
Minghong Fang
Jia Liu
Neil Zhenqiang Gong
FedML
117
611
0
27 Dec 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