Zero Knowledge Proofs for Model Updates
Use zk-SNARKs verified through Substrate's verification infrastructure to verify the correctness of model updates without revealing gradients, ensuring legitimate contributions.
Ensuring Validity in Decentralized Model Training
This approach ensures that each participant's update to a shared AI model is valid, preventing malicious or incorrect updates from skewing the model, while keeping the underlying data private, which is essential for maintaining trust in a decentralized network coordinated through Substrate's consensus framework.
The Proof Behind Champions
Those who compete at the edge of human precision now back the technology that defines digital truth.
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