A Federated Learning Framework for Healthcare IoT devices

by   Binhang Yuan, et al.

The Internet of Things (IoT) revolution has shown potential to give rise to many medical applications with access to large volumes of healthcare data collected by IoT devices. However, the increasing demand for healthcare data privacy and security makes each IoT device an isolated island of data. Further, the limited computation and communication capacity of wearable healthcare devices restrict the application of vanilla federated learning. To this end, we propose an advanced federated learning framework to train deep neural networks, where the network is partitioned and allocated to IoT devices and a centralized server. Then most of the training computation is handled by the powerful server. The sparsification of activations and gradients significantly reduces the communication overhead. Empirical study have suggested that the proposed framework guarantees a low accuracy loss, while only requiring 0.2 synchronization traffic in vanilla federated learning.


page 1

page 2

page 3


Semi-Federated Learning for Collaborative Intelligence in Massive IoT Networks

Implementing existing federated learning in massive Internet of Things (...

Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection

Federated learning can be a promising solution for enabling IoT cybersec...

A Federated Filtering Framework for Internet of Medical Things

Based on the dominant paradigm, all the wearable IoT devices used in the...

IoT Federated Blockchain Learning at the Edge

IoT devices are sorely underutilized in the medical field, especially wi...

SMPC-based Federated Learning for 6G enabled Internet of Medical Things

Rapidly developing intelligent healthcare systems are underpinned by Six...

FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare

With the rapid development of computing technology, wearable devices suc...

FedBA: Non-IID Federated Learning Framework in UAV Networks

With the development and progress of science and technology, the Interne...

Please sign up or login with your details

Forgot password? Click here to reset