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FederatedScope is an easy-to-use federated learning platform for safe knowledge sharing that supports end-to-end federated learning workflows. It is highly extensible: developers can plug in their own datasets, models, and components, use event-driven, modular FL algorithms, and leverage personalization and automated hyperparameter optimization. The platform includes privacy protection technologies such as differential privacy, encryption, and secure multi-party computation, and it provides research-focused benchmarks and tooling.
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