MediSwarm Prototype Release Milestone

Objective

To deliver a minimum viable product (MVP) for the MediSwarm prototype. This release aims to validate the current workflow integration with the existing open-source swarm learning platform. The focus will be on demonstrating the basic functionalities and ensuring that the workflow operates smoothly within the swarm learning environment.

Milestone Goals

1. Integration and Validation: Ensure seamless integration with the open-source swarm learning platform and validate the workflow.
2. Basic Functionalities: Implement core features necessary for the MVP.
3. Testing and Debugging: Conduct thorough testing and debugging to identify and resolve any issues.
4. Documentation: Provide comprehensive documentation for the prototype.

Key Deliverables

1. MediSwarm Prototype:
   • Basic functional prototype integrated with the open-source swarm learning platform.
   • Core features implemented and tested.
2. Test Suite:
   • Unit tests and integration tests to validate functionality.
   • End-to-end testing to ensure workflow operability.
3. Documentation:
   • User manual detailing setup, configuration, and usage instructions.
   • Developer guide for contributing to the prototype.
   • Test reports and known issues documentation.
4. Application Code Example:
   • Example code to run a 3D CNN network for predicting malignant tumor in breast MRI data.

Timeline and Phases

1. Phase 1: Initial Setup and Integration (2 weeks)

   • Task 1.1: Set up the development environment and repository.
   • Task 1.2: Integrate the MediSwarm prototype with the open-source swarm learning platform.
   • Task 1.3: Validate basic integration through initial tests.

2. Phase 2: Core Feature Implementation (3 weeks)

   • Task 2.1: Implement core functionalities required for the MVP.
     • Feature A: Data ingestion and preprocessing.
     • Feature B: Model training and evaluation.
     • Feature C: Result aggregation and reporting.
   • Task 2.2: Ensure all implemented features are functioning as expected.

3. Phase 3: Testing and Debugging (2 weeks)

   • Task 3.1: Develop unit tests for individual components.
   • Task 3.2: Create integration tests for the entire workflow.
   • Task 3.3: Conduct end-to-end testing.
   • Task 3.4: Debug and resolve identified issues.

4. Phase 4: Documentation and Final Preparations (1 week)

   • Task 4.1: Compile user manual and developer guide.
   • Task 4.2: Document test cases and results.
   • Task 4.3: Prepare for the prototype release.

Resources Required

• Team Members:
  • Developers
  • Testers
  • Technical writers
• Tools and Technologies:
  • Development environment (IDEs, version control)
  • Testing tools
  • Documentation tools

Risk Management

• Integration Challenges: Potential issues with integrating the prototype with the swarm learning platform. Mitigation: Allocate extra time for integration and have technical support available.
• Bugs and Issues: Unforeseen bugs during testing. Mitigation: Continuous testing and quick resolution strategies.
• Resource Constraints: Availability of team members. Mitigation: Ensure all team members are briefed and have clear roles and backup resources are identified.

Success Criteria

• Successful integration with the open-source swarm learning platform.
• All core features implemented and functioning as expected.
• Thoroughly tested prototype with documented results.
• Comprehensive documentation available for users and developers.
• Positive feedback from initial prototype users and stakeholders.

Review and Approval

The milestone will be reviewed and approved by the project stakeholders and the MediSwarm development team upon completion of all phases and deliverables. Feedback will be collected for future improvements and development cycles.

Example Application Code

An example application code will be included to run a 3D CNN network for predicting malignant tumors in breast MRI data.

Checklist

• Simulator: Ensure the prototype is tested in a simulated environment.
• PoC: Validate the proof of concept with the prototype.
• Provision with 3 clients: Deploy the prototype with 3 clients, both in high availability (HA) and non-HA modes.