Recent developments in deep learning have contributed to numerous success stories in
healthcare. The performance of a deep learning model generally improves with the size of …

Data generated at the network edge can be processed locally by leveraging the paradigm of
Edge Computing (EC). Aided by EC, Federated Learning (FL) has been becoming a …

Medical image analysis is crucial for the efficient diagnosis of many diseases. Typically,
hospitals maintain vast repositories of images, which can be leveraged for various purposes …

Recent advancements in deep learning for healthcare and computer-aided laboratory
services have sparked a renewed interest in making medical data more accessible …

Breast cancer is a leading cause of death among women worldwide, emphasizing the need
for early detection and accurate diagnosis. As such Ultrasound Imaging, a reliable and cost …

Advancements in medical imaging facilities have led to a substantial increase in the
generation of medical imaging data on a daily basis. This creates an excellent opportunity …

FEDERATED LEARNING FOR PRIVACY-PRESERVING MACHINE LEARNING IN IOT
NETWORKS K Swethan Kumar MCA, PhD Scholar, Computer Science Ap Page 1 Journal of Data …

Data generated at the network edge can be processed locally by leveraging the paradigm of
Edge Computing (EC). Aided by EC, Federated Learning (FL) has been becoming a …