dshahrokhian/federated-learning-tutorial
👥 Federated Learning tutorial with TensorFlow Federated (TFF)
This tutorial helps you understand how to train machine learning models using data distributed across many different devices or organizations, without needing to centralize all that sensitive data in one place. You'll learn how to build a federated learning system using TensorFlow Federated, taking in decentralized datasets and producing a shared, global model. It's designed for machine learning practitioners and researchers working with privacy-sensitive or distributed data.
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Use this if you need to train AI models on data that cannot be collected into a single location due to privacy concerns, regulatory compliance, or sheer volume, and you're familiar with TensorFlow.
Not ideal if your data is already centralized and easy to access, or if you are looking for a simple, single-device model training solution.
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Jun 16, 2021
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