Shypd.aiThe largest open index of AI toolsPaddleFL is an open-source federated learning framework based on PaddlePaddle, enabling researchers to replicate and compare federated learning algorithms. It allows developers to deploy large-scale federated learning systems with privacy-preserving machine learning.
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PaddleFL is an open-source federated learning framework built upon PaddlePaddle, designed to address data isolation and secure knowledge sharing among organizations. It provides researchers with an easy way to replicate and compare various federated learning algorithms. Developers can leverage PaddleFL to deploy robust federated learning systems in large-scale distributed clusters. The framework supports both horizontal and vertical federated learning strategies, including Federated Averaging, Differential Privacy, and Secure Aggregation. Key components include Data Parallel for common horizontal strategies and Federated Learning with MPC (PFM) for secure training and prediction using multi-party computation protocols like ABY3 and PrivC. PaddleFL also offers an FL-mobile simulator for algorithm simulation, training, and deployment on mobile terminal devices.
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