基于区块链的联盟学习数据确权机制研究

Xiaogang Cheng, Ren Guo
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摘要

联盟学习可以解决分布式数据挖掘和机器学习中的隐私保护问题,如何保护联盟学习中参与各方的所有权、使用权和收益权是一个重要问题。本文提出了一种基于区块链和智能合约的联盟学习数据所有权确认机制,利用去中心化的区块链技术将各参与方的贡献保存在区块链上,并通过区块链分配联盟学习成果的收益。在区块链本地仿真环境中,模拟并实现了相关智能合约和数据结构,初步验证了方案的可行性。
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Research on Data Right Confirmation Mechanism of Federated Learning based on Blockchain
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.
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