Decentralised AI training is a method where multiple computers or devices work together to train an artificial intelligence model, instead of relying on a single central server. Each participant shares the workload by processing data locally and then combining the results. This approach can help protect privacy, reduce costs, and make use of distributed computing…
Decentralized AI Training
- Post author By EfficiencyAI
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- Categories In Artificial Intelligence, Decentralised Systems, Model Training & Tuning