In this video, we explore Federated Learning (FL)—the architecture that allows you to train AI models without ever moving data from the user's device.
As data privacy regulations tighten and Edge Computing grows, traditional centralized training is becoming obsolete for sensitive applications. We break down how FL enables collaborative learning across thousands of devices while keeping raw data local and secure.
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Federated Learning Explained: Decentralizing AI for Privacy & Edge Computing | NatokHD