Decentralization

Decentralization in data science refers to the distribution of data processing and storage across multiple nodes or devices, rather than relying on a central server or system. This approach allows for greater scalability, fault tolerance, and privacy, as well as reducing the risk of a single point of failure or attack. Decentralized systems can be implemented using blockchain technology, peer-to-peer networks, or other distributed computing architectures. In addition to data storage and processing, decentralization can also refer to decision-making processes, where authority and responsibility are distributed among multiple individuals or groups rather than being centralized in a single entity.
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