Empowering Trustworthy Client Selection in Edge Federated Learning Leveraging Reinforcement Learning
Federated learning (FL) is a promising approach for training AI models across multiple
clients in Edge Computing (EC), without sharing raw local data. By enabling local training …
clients in Edge Computing (EC), without sharing raw local data. By enabling local training …
Federated-Edge Computing Based Cyber-Physical Systems Framework for Enhanced Diabetes Management
This paper presents an intelligent cyber-physical system framework for detecting and
managing type 2 diabetes. The framework leverages the benefits of cloud and federated …
managing type 2 diabetes. The framework leverages the benefits of cloud and federated …
A Secure and Scalable Peer-to-Peer Federated Learning Approach for Handling Veracity in Big Data
A massive source of terabytes of data is produced consistently from advanced data
frameworks and innovation such as distributed/cloud computing, mobile network devices …
frameworks and innovation such as distributed/cloud computing, mobile network devices …
Integrating Cyber-Physical System with Federated-Edge Computing for Diabetes Detection and Management
Diabetes mellitus is a significant global health issue that affects millions of people. As a
result, it is crucial to prioritize preventative and management strategies for this disease. In …
result, it is crucial to prioritize preventative and management strategies for this disease. In …