How does decentralized AI computing enhance data privacy?
Decentralized AI computing enhances data privacy by allowing AI models to be trained on distributed nodes without exposing raw data to a central authority. This reduces the risk of data breaches and unauthorized access, as computations occur locally or across a secure network without transferring sensitive information. Techniques like federated learning, encryption, and blockchain-based verification further ensure that data remains protected while still enabling advanced AI model development.
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