Paper 1: Optimized Federated Learning with Blockchain for Securing Data in Remote Monitoring Systems in the Internet of Medical Things (tentative)
Paper 2: Blockchain-Enhanced Federated Learning Model for Improved Monitoring and Management of COPD Patients (tentative)
Paper 1:
1. Outsourced for free published thesis containing integration of federated learning with he blockchain
2.Reviewing and studying published thesis about federated learning
3.Finally was able to set up a federated learning set up with base line models. I resolved the dependence errors that i was facing
Paper 2:
1. Currently I am examining the performances of different consensus algorithms in the fabric
Paper 1:
1. I will bee varying the different components of my baseline federated learning models as i record to know which parameters to modify and improve
Paper 2:
1. Continue with testing the effectiveness of the different consensus algorithm in fabric
PurePet:
We want to get the key features of phase one working in the mobile application
Digital Twins:
Initializing phase one of the project
Purepet:
1. Finished designing the user interface for the mobile application
Digital Twins
1. Reviewing existing literature on the use of digital twins in the healthcare industry.
2. Examined case studies on the implementation of digital twins for monitoring chronic patients.
Purepet:
1. Designing the database
Digital Twins:
1. Reviewing existing literature on the use of digital twins in the healthcare industry.
2. Examining more case studies on the implementation of digital twins for monitoring chronic patients.
1. Deepen my study of Hyperledger Blockchain architecture.
2. Deepen my understanding of Federated Learning.
1.Submit at least 2 articles to scientific journals.
2.Submit and attend at least one NSL-approved domestic conference.
3.Submit and attend at least one NSL-approved international conference.