Decentralized Model Training

Decentralized Model Training in Low-Code AI leverages the power of distributed computing and blockchain technology to enable collaborative and secure model development. Unlike traditional centralized AI systems, where all training is performed on a single server or data center, Low-Code AI’s decentralized approach allows for the training process to be spread across multiple contributors. This provides several key benefits, including enhanced security, improved model accuracy, and a more equitable ecosystem.