Federated Learning Network: Enhancing Privacy and Efficiency
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Federated Learning: Privacy-Preserving Machine Learning Network

Prompt

Illustrate a concept of federated learning. Picture a network of interconnected digital devices such as smartphones, laptops, and tablets all communicating with each other. Each device independently performs machine learning computations on its own local data without sending the data itself to a central server. Instead, only the learning model updates are shared, enhancing both privacy and efficiency. Information is exchanged across glowing lines representing the internet, with the central system processing the shared updates to improve the universal model, benefiting all participants.

Created on 2/26/2024 using DALL-E 3 modelReport
License: Free to use with a backlink to Easy-Peasy.AI

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