Explore 2 AI terms in Decentralized Computing
Decentralized AI refers to AI systems that operate without a central authority, leveraging distributed networks for data processing and decision-making.
Federated Averaging is a decentralized machine learning technique that aggregates model updates from various devices without sharing data.