# Blockchain Audit Before the emergence of blockchain technology, early explorations were undertaken to construct audit-based solutions\cite{belenkiy2008incentivizing}. These solutions relied on trusted clients to recompute sampled tasks performed by untrusted workers, employing incentive mechanisms to reward honest work and penalize cheating. The advent of blockchain technology, notably underlying Bitcoin\cite{nakamoto2008bitcoin}, brought about revolutionary features such as immutability and traceability in decentralized data storage. In the realm of federated learning, blockchain has been harnessed to ensure data provenance and maintain auditable blocks \cite{bao2019flchain, chen2018machine, li2020blockchain, qu2022blockchain}. This integration ensures the verification of learning processes, enabling validators to scrutinize results. Additionally, the incentive mechanisms inherent in blockchain ecosystems incentivize nodes to contribute high-quality data and services to decentralized systems. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://deai.gitbook.io/deai/verification-of-computation/blockchain-audit.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.