# Trustless Machine Learning Contracts; Evaluating and Exchanging Machine Learning Models on the Ethereum Blockchain

arXiv: https://arxiv.org/abs/1802.10185 · HTML: https://mlsanity.com/paper/1802.10185/

## Key facts

- Cited by 8 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Feb 2018.

## Built on by (most cited first, 8 of 8)

- [Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning System](https://mlsanity.com/paper/2111.06290/) (2021)
- [Survey on the Convergence of Machine Learning and Blockchain](https://mlsanity.com/paper/2201.00976/) (2022)
- [A Review on Building Blocks of Decentralized Artificial Intelligence](https://mlsanity.com/paper/2402.02885/) (2024)
- [An Investigation of Smart Contract for Collaborative Machine Learning Model Training](https://mlsanity.com/paper/2209.05017/) (2022)
- [Generation of Optimized Solidity Code for Machine Learning Models using LLMs](https://mlsanity.com/paper/2503.06203/) (2025)
- [Blockchain as an Enabler for Transfer Learning in Smart Environments](https://mlsanity.com/paper/2204.03959/) (2022)
- [Leveraging Centric Data Federated Learning Using Blockchain For Integrity Assurance](https://mlsanity.com/paper/2206.04731/) (2022)
- [I Know What I Don't Know: Latent Posterior Factor Models for Multi-Evidence Probabilistic Reasoning](https://mlsanity.com/paper/2603.15670/) (2026)

## Abstract (arXiv)

Using blockchain technology, it is possible to create contracts that offer a reward in exchange for a trained machine learning model for a particular data set. This would allow users to train machine learning models for a reward in a trustless manner. The smart contract will use the blockchain to automatically validate the solution, so there would be no debate about whether the solution was correct or not. Users who submit the solutions won't have counterparty risk that they won't get paid for their work. Contracts can be created easily by anyone with a dataset, even programmatically by software agents. This creates a market where parties who are good at solving machine learning problems can directly monetize their skillset, and where any organization or software agent that has a problem to solve with AI can solicit solutions from all over the world. This will incentivize the creation of better machine learning models, and make AI more accessible to companies and software agents.