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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 sprintblocked ⛔
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 sprintblocked ⛔