[HTML][HTML] Enhancing IoT Healthcare with Federated Learning and Variational Autoencoder
DMS Bhatti, BJ Choi - Sensors, 2024 - mdpi.com
The growth of IoT healthcare is aimed at providing efficient services to patients by utilizing
data from local hospitals. However, privacy concerns can impede data sharing among third …
data from local hospitals. However, privacy concerns can impede data sharing among third …
[HTML][HTML] DRL-empowered joint batch size and weighted aggregation adjustment mechanism for federated learning on non-IID data
J Bang, S Woo, J Lee - ICT Express, 2024 - Elsevier
To address the accuracy degradation as well as prolonged convergence time due to the
inherent data heterogeneity among end-devices in federated learning (FL), we introduce the …
inherent data heterogeneity among end-devices in federated learning (FL), we introduce the …
Improving Energy Efficiency in Federated Learning Through the Optimization of Communication Resources Scheduling of Wireless IoT Networks
RR de Oliveira, KV Cardoso, A Oliveira-Jr - arXiv preprint arXiv …, 2024 - arxiv.org
Federated Learning (FL) allows devices to train a global machine learning model without
sharing data. In the context of wireless networks, the inherently unreliable nature of the …
sharing data. In the context of wireless networks, the inherently unreliable nature of the …