opML: Optimistic Machine Learning on Blockchain
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Abstract (arXiv)
The integration of machine learning with blockchain technology has witnessed increasing interest, driven by the vision of decentralized, secure, and transparent AI services. In this context, we introduce opML (Optimistic Machine Learning on chain), an innovative approach that empowers blockchain systems to conduct AI model inference. opML lies a interactive fraud proof protocol, reminiscent of the optimistic rollup systems. This mechanism ensures decentralized and verifiable consensus for ML services, enhancing trust and transparency. Unlike zkML (Zero-Knowledge Machine Learning), opML offers cost-efficient and highly efficient ML services, with minimal participation requirements. Remarkably, opML enables the execution of extensive language models, such as 7B-LLaMA, on standard PCs without GPUs, significantly expanding accessibility. By combining the capabilities of blockchain and AI through opML, we embark on a transformative journey toward accessible, secure, and efficient on-chain machine learning.
Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). First posted on arXiv 31 Jan 2024.
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Citing papers per year: 2024: 9; 2025: 5; 2026: 6.
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- 2024Blockchain for Large Language Model Security and Safety: A Holistic Surveycited by 8
- 2024Proof of Quality: A Costless Paradigm for Trustless Generative AI Model Inference on Blockchainscited by 7
- 2024SoK: Blockchain-Based Decentralized AI (DeAI)cited by 6
- 2024Proof-of-Learning with Incentive Securitycited by 4
- 2025DeServe: Towards Affordable Offline LLM Inference via Decentralizationcited by 4
- 2025VET Your Agent: Towards Host-Independent Autonomy via Verifiable Execution Tracescited by 4
- 2024eFedLLM: Efficient LLM Inference Based on Federated Learningcited by 3
- 2024Blockchain and Artificial Intelligence: Synergies and Conflictscited by 2
- 2024Blockchain Meets LLMs: A Living Survey on Bidirectional Integrationcited by 2
- 2026Game of Coding: Coding Theory in the Presence of Rational Adversaries, Motivated by Decentralized Machine Learningcited by 2
- 2024opp/ai: Optimistic Privacy-Preserving AI on Blockchaincited by 1
- 2024Self-Supervised Inference of Agents in Trustless Environmentscited by 1
8 more
- 2025TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networkscited by 1
- 2025On-Chain Decentralized Learning and Cost-Effective Inference for DeFi Attack Mitigationcited by 0
- 2025Fortytwo: Swarm Inference with Peer-Ranked Consensuscited by 0
- 2026Towards Verifiable AI with Lightweight Cryptographic Proofs of Inferencecited by 0
- 2026mathsfVISTA: Decentralized Machine Learning in Adversary Dominated Environmentscited by 0
- 2026OVIG: Optimistic Verification of AI Training Integrity via Gradient Signalscited by 0
- 2026Integrity of peer-to-peer distributed LLM inference under malicious nodescited by 0
- 2026SoK: Decentralized Agent Economic Infrastructurecited by 0
- 2026SoK: Decentralized Agent Economic Infrastructure1 Oct 2026
- 2026Integrity of peer-to-peer distributed LLM inference under malicious nodes21 Jul 2026
- 2026OVIG: Optimistic Verification of AI Training Integrity via Gradient Signals19 Jun 2026
- 2026mathsfVISTA: Decentralized Machine Learning in Adversary Dominated Environments8 May 2026
- 2026Towards Verifiable AI with Lightweight Cryptographic Proofs of Inference19 Mar 2026
- 2026Game of Coding: Coding Theory in the Presence of Rational Adversaries, Motivated by Decentralized Machine Learning5 Jan 2026
- 2025VET Your Agent: Towards Host-Independent Autonomy via Verifiable Execution Traces17 Dec 2025
- 2025Fortytwo: Swarm Inference with Peer-Ranked Consensus27 Oct 2025
- 2025TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks15 Oct 2025
- 2025On-Chain Decentralized Learning and Cost-Effective Inference for DeFi Attack Mitigation15 Oct 2025
- 2025DeServe: Towards Affordable Offline LLM Inference via Decentralization4 Jan 2025
- 2024SoK: Blockchain-Based Decentralized AI (DeAI)26 Nov 2024
8 more
- 2024Blockchain Meets LLMs: A Living Survey on Bidirectional Integration25 Nov 2024
- 2024eFedLLM: Efficient LLM Inference Based on Federated Learning24 Nov 2024
- 2024Self-Supervised Inference of Agents in Trustless Environments12 Sep 2024
- 2024Blockchain for Large Language Model Security and Safety: A Holistic Survey26 Jul 2024
- 2024Proof of Quality: A Costless Paradigm for Trustless Generative AI Model Inference on Blockchains28 May 2024
- 2024Blockchain and Artificial Intelligence: Synergies and Conflicts22 May 2024
- 2024Proof-of-Learning with Incentive Security13 Apr 2024
- 2024opp/ai: Optimistic Privacy-Preserving AI on Blockchain22 Feb 2024
- 2024eFedLLM: Efficient LLM Inference Based on Federated Learning24 Nov 2024
- 2024SoK: Blockchain-Based Decentralized AI (DeAI)cited by 6
- 2024Proof-of-Learning with Incentive Securitycited by 4
- 2025DeServe: Towards Affordable Offline LLM Inference via Decentralizationcited by 4
- 2024Blockchain and Artificial Intelligence: Synergies and Conflictscited by 2
- 2024Blockchain Meets LLMs: A Living Survey on Bidirectional Integrationcited by 2
- 2026Game of Coding: Coding Theory in the Presence of Rational Adversaries, Motivated by Decentralized Machine Learningcited by 2
- 2024opp/ai: Optimistic Privacy-Preserving AI on Blockchaincited by 1
- 2025TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networkscited by 1
- 2025On-Chain Decentralized Learning and Cost-Effective Inference for DeFi Attack Mitigationcited by 0
- 2025Fortytwo: Swarm Inference with Peer-Ranked Consensuscited by 0
- 2026Towards Verifiable AI with Lightweight Cryptographic Proofs of Inferencecited by 0
- 2026mathsfVISTA: Decentralized Machine Learning in Adversary Dominated Environmentscited by 0
12 most cited of 15 All 15 (JSON)
- 2026SoK: Decentralized Agent Economic Infrastructure1 Oct 2026
- 2026Integrity of peer-to-peer distributed LLM inference under malicious nodes21 Jul 2026
- 2026OVIG: Optimistic Verification of AI Training Integrity via Gradient Signals19 Jun 2026
- 2026mathsfVISTA: Decentralized Machine Learning in Adversary Dominated Environments8 May 2026
- 2026Towards Verifiable AI with Lightweight Cryptographic Proofs of Inference19 Mar 2026
- 2026Game of Coding: Coding Theory in the Presence of Rational Adversaries, Motivated by Decentralized Machine Learning5 Jan 2026
- 2025Fortytwo: Swarm Inference with Peer-Ranked Consensus27 Oct 2025
- 2025TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks15 Oct 2025
- 2025On-Chain Decentralized Learning and Cost-Effective Inference for DeFi Attack Mitigation15 Oct 2025
- 2025DeServe: Towards Affordable Offline LLM Inference via Decentralization4 Jan 2025
- 2024SoK: Blockchain-Based Decentralized AI (DeAI)26 Nov 2024
- 2024Blockchain Meets LLMs: A Living Survey on Bidirectional Integration25 Nov 2024
12 newest of 15 All 15 (JSON)