Our Platform


Synth is designed to revolutionize how AI models are trained across distributed networks, ensuring data privacy and security.

Platform Overview

Synth Platform Overview
  1. General model is trained and then sent to the various systems or devices
  2. Distributed models learn locally and only the parameters are sent back to the server
  3. Federated server uses local parameters to generate a consensus
  4. The local models are then updated and the process is repeated until the model converges
  5. Model output is then piped to the appropriate operational applications

In summary, Synth's platform leverages federated learning to enhance AI model training while preserving data privacy and security.

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