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Federated Learning: Decentralized AI

Federated Learning enables Artificial Intelligence (AI) to leverage data models created in decentralized environments. Aggregating these local models from various sources allows Internet of Things (IoT) to learn from each other.

The benefits realized from Federated Learning include reduced bandwidth consumption, localized personalization of the model, and increased data security, to name a few. Federated Learning has become possible recently due to more powerful devices at the edge, ranging from mobile phones and IoT devices to small form factor PCs and servers.