Overview
Library for co-generating predictions using multiple distributed models with weighted contributions
User Stories and Journeys
- Researcher → weighted ensemble of models → better accuracy
- Developer → implements voting easily → complex aggregation simplified
- Customizable weights → tuned to use case → flexible
Target Users
AI Developer/Builder, Research Institution, Technical Enthusiast
Technical Requirements
This feature requires implementation across the SyftHub platform with consideration for:
- Privacy-first design: All functionality must maintain data sovereignty principles
- User experience: Intuitive interface design for both technical and non-technical users
- System integration: Seamless integration with existing Syft ecosystem components
- Performance: Efficient implementation that scales with user growth
- Security: Robust security measures protecting user data and system integrity
Acceptance Criteria
Dependencies
- Core SyftHub platform infrastructure
- Authentication and authorization systems
- User interface framework
- Privacy-preserving data handling systems
Product: SyftHub | Category: Dev Tools | Priority: P1
Overview
Library for co-generating predictions using multiple distributed models with weighted contributions
User Stories and Journeys
Target Users
AI Developer/Builder, Research Institution, Technical Enthusiast
Technical Requirements
This feature requires implementation across the SyftHub platform with consideration for:
Acceptance Criteria
Dependencies
Product: SyftHub | Category: Dev Tools | Priority: P1