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Priority: 2 - High 😰Should be fixed as quickly as possible, ideally within the current or following sprintShould be fixed as quickly as possible, ideally within the current or following sprint
Description
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
- Feature is fully implemented and tested
- User interface is intuitive and accessible
- Privacy and security requirements are met
- Documentation is complete and up-to-date
- Integration tests pass with existing system components
Dependencies
- Core SyftHub platform infrastructure
- Authentication and authorization systems
- User interface framework
- Privacy-preserving data handling systems
Product: SyftHub | Category: Dev Tools | Priority: P1
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Priority: 2 - High 😰Should be fixed as quickly as possible, ideally within the current or following sprintShould be fixed as quickly as possible, ideally within the current or following sprint