Research on Data Right Confirmation Mechanism of Federated Learning based on Blockchain

TL;DR

This paper introduces a blockchain-based data ownership confirmation mechanism for federated learning, utilizing smart contracts to securely record contributions and distribute benefits, thereby enhancing privacy and ownership protection.

Contribution

It proposes a novel blockchain and smart contract framework to confirm data ownership and fairly distribute benefits in federated learning, which is validated through local simulation.

Findings

Feasibility of blockchain-based ownership confirmation demonstrated

Smart contracts effectively record participant contributions

Preliminary simulation confirms scheme's practicality

Abstract

Federated learning can solve the privacy protection problem in distributed data mining and machine learning, and how to protect the ownership, use and income rights of all parties involved in federated learning is an important issue. This paper proposes a federated learning data ownership confirmation mechanism based on blockchain and smart contract, which uses decentralized blockchain technology to save the contribution of each participant on the blockchain, and distributes the benefits of federated learning results through the blockchain. In the local simulation environment of the blockchain, the relevant smart contracts and data structures are simulated and implemented, and the feasibility of the scheme is preliminarily demonstrated.