Shypd.aiThe largest open index of AI toolsPracticing-Federated-Learning is an Open Source tool that provides code examples for federated learning. It helps users understand federated learning through practical cases and addresses data privacy issues.
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Practicing-Federated-Learning is an open-source GitHub repository offering practical code examples for federated learning. It serves as a companion to the book "Practicing Federated Learning," providing hands-on implementations for various chapters. The repository covers topics such as horizontal and vertical federated learning with Python and FATE, personalized recommendations, computer vision, and advanced concepts like attack and defense mechanisms, differential privacy, and homomorphic encryption. It aims to help users understand and apply federated learning to address data silos and user privacy concerns, making it a valuable resource for both academics and industry professionals.
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