Proof of Sampling: A Nash Equilibrium-Based Verification Protocol for Decentralized Systems

2024-05-01

AI Summary

In decentralized machine learning inference (spML), rational nodes may act maliciously, compromising network integrity. Method: This paper proposes Proof of Sampling (PoSP), a novel consensus protocol that directly embeds pure-strategy Nash equilibrium into the verification mechanism, establishing a trustless, incentive-compatible, self-enforcing economic framework. PoSP innovatively replaces computationally expensive zero-knowledge proofs with low-overhead sampling proofs, specifically tailored for spML. Integrated with cryptographic protocols and the Actively Validated Services (AVS) architecture, PoSP ensures collusion resistance while substantially reducing communication and computational overhead. Contribution/Results: Experimental evaluation demonstrates significant improvements in verification efficiency, establishing a new scalable paradigm for AVS validation within the Restaking ecosystem.

Technology Category

• Multiagent Systems: Mechanism Design
• Machine Learning: Distributed Machine Learning & Federated Learning
• Data Mining & Knowledge Management: Representing, Reasoning, and Using Provenance, Trust

Application Category

• Security and Privacy: Data transparency and provenance
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Responsible Web: Machine-in-the-loop, human agency and autonomy

Abstract

This paper introduces the Proof of Sampling (PoSP) protocol, a Nash Equilibrium-based verification mechanism, and its application to decentralized machine learning inference through spML. Our protocol has a pure strategy Nash Equilibrium, compelling rational participants to act honestly. It economically disincentivizes dishonest behavior, making it costly for participants to compromise the network's integrity. In our spML protocol, we apply PoSP to decentralized inference for AI applications via a novel cryptographic protocol. The resulting protocol is much more efficient than zero knowledge proof based approaches. Moreover, we anticipate that the PoSP protocol could be effectively utilized for designing verification mechanisms within Actively Validated Services (AVS) in restaking solutions. We further expect that the PoSP protocol could be applied to a variety of other decentralized applications. Our approach enhances the reliability and efficiency of decentralized systems, paving the way for a new generation of decentralized applications.

Problem

• Verifying decentralized systems using Nash Equilibrium-based protocol
• Ensuring honest behavior in decentralized machine learning inference
• Improving efficiency and reliability of decentralized applications

Innovation

• Nash Equilibrium-based verification protocol
• Efficient decentralized AI inference
• Cryptographic protocol for integrity