1. Optimized Federated learning with Block Chain for Securing data in Remote Monitoring system in Internet of Medical Things (tentative)
2. Blockchain-Enhanced Federated Learning Model for Improved Monitoring and Management of COPD Patients (tentative)
1. Analyzed data privacy regulations relevant to healthcare and incorporated compliance measures into the model design, particularly focusing on HIPAA and GDPR where applicable.
1. Continue reviewing existing literature on blockchain technologies and federated learning models, specifically focusing on applications within healthcare monitoring systems for chronic diseases like COPD.
2. Develop a prototype of the proposed federated learning model integrated with blockchain, ensuring it can handle real-time data securely and efficiently in the context of COPD patient monitoring.
3. Continue analysis of data privacy regulations relevant to healthcare and incorporate compliance measures into the model design, particularly focusing on HIPAA and GDPR where applicable.
4. Evaluate the system's performance by conducting robustness tests, assessing both the scalability and accuracy of the blockchain and federated learning components in a controlled simulation environment.
Currently designing the web application for the pure pet project.
1. Designed the wireframe for the web application to optimize user experience and ensure intuitive navigation.
1. Design the website login interface and the registration interface.
2. Extend the website applications to the mobile application
1. Deepen my study of Hyperledger Blockchain architecture.
2. Deepen my understanding of federated Learning
1. Submit at least 2 journals
2. Submit and attend at least one NSL approved domestic conference
3. Submit and attend at least one NSL approved international conference.