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Communication-Efficient Hybrid Federated Learning for E-health with
  Horizontal and Vertical Data Partitioning

Communication-Efficient Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioning

15 April 2024
Chong Yu
Shuaiqi Shen
Shiqiang Wang
Kuan Zhang
Hai Zhao
    FedML
ArXivPDFHTML

Papers citing "Communication-Efficient Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioning"

4 / 4 papers shown
Title
Unlearning Clients, Features and Samples in Vertical Federated Learning
Unlearning Clients, Features and Samples in Vertical Federated Learning
Ayush K. Varshney
Konstantinos Vandikas
V. Torra
MU
39
1
0
23 Jan 2025
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D
  biomedical image classification
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Jiancheng Yang
Rui Shi
D. Wei
Zequan Liu
Lin Zhao
B. Ke
Hanspeter Pfister
Bingbing Ni
VLM
171
647
0
27 Oct 2021
Ternary Compression for Communication-Efficient Federated Learning
Ternary Compression for Communication-Efficient Federated Learning
Jinjin Xu
W. Du
Ran Cheng
Wangli He
Yaochu Jin
MQ
FedML
34
174
0
07 Mar 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