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. Complete the drafting of my KCICS paper, ensuring it encapsulates all critical analyses, findings, and discussions. Proofread to enhance clarity and adherence to publication standards.
1. Review 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. Analyze 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.
Purepet project underwent restructuring, and a meeting was held to reassign tasks following the Professor's approval of the new system model and timeline for the project.
1. There was a project restructuring for the Purepet project, had a meeting and reassigned tasks after the Professor’s approval of the new system model and timeline for the project
1. Design the website layout by sketching wireframes and choosing a color scheme that aligns with the brand identity. Decide on the navigation structure and key components like headers, footers, and call-to-action buttons.
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.