Definition ∞ Decentralized AI training involves distributing the computational tasks required to train artificial intelligence models across a network of independent participants. This approach leverages blockchain technology to coordinate resources, ensure data integrity, and potentially reward contributors. It aims to reduce reliance on centralized infrastructure for AI development.
Context ∞ News about decentralized AI training often highlights innovations at the intersection of blockchain and artificial intelligence. Discussions focus on how this method can enhance data privacy, improve model transparency, and democratize access to powerful computing resources. The development of such systems represents a significant area of research and application in the evolving digital landscape.
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