Warden Protocol and Statistical Proof of Execution (SPEX) for Verifiable Computing in ML/AI

Overview

Syllabus

• Introduction to Verifiable Computing in AI/ML
Overview of Verifiable Computing
Importance in AI and Machine Learning
Current Challenges and Solutions
• Understanding the Warden Protocol
Concept and Origins
Architectural Overview
Key Components and Interfaces
• Statistical Proof of Execution (SPEX)
Fundamentals of SPEX
SPEX vs Traditional Proofs
Case Studies and Applications
• Blockchain Integration with AI
Blockchain Basics for AI Practitioners
Smart Contracts and AI Models
Case Studies: Blockchain and AI Synergy
• Sampling-Based Protocols for Efficiency
What are Sampling-Based Protocols?
Implementing Sampling Strategies in AI
Benefits: Speed and Cost-Effectiveness
• Autonomous Decision-Making Systems
Designing Systems for Verifiability
Protocol Integration in Autonomous Systems
Real-World Applications and Use Cases
• Practical Implementation and Tools
Tools and Platforms for Warden and SPEX
Developing AI Pipelines with Verifiable Elements
Hands-On Project: Implementing a Verifiable AI Solution
• Emerging Trends and Future Directions
Advanced Topics in Verifiable Computing
Potential Developments in Blockchain-AI Integration
Conclusion and Future Prospects
• Course Wrap-Up and Q&A
Final Discussion and Review
Open Forum for Questions and Insights
Additional Resources and Continuing Education Options

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Subjects

Computer Science