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FLUTE is Microsoft’s New Framework for Federated Learning
The new framework enables large scale, offline simulations of federated learning scenarios.
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Federated learning is one of the most popular architectures to enable privacy in deep learning solutions. Despite its popularity, federated learning architectures remain super difficult to implement. From the computation cost of setting up test environments to the enforcement of privacy guarantees or the complexity of model updates, implementing federated learning solutions can be nothing short of a nightmare. Not surprisingly, there are not many federated learning libraries available in mainstream deep learning frameworks. To address some of these challenges, Microsoft…
