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Efficient Secure Aggregation for Federated Learning

Efficient Secure Aggregation for Federated Learning

Federated Learning (FL) trains a global model by having each selected device push only its model update to a central server, keeping raw data local. However, those updates can still leak sensitive information unless the server learns only their sum. A naïve approach is to run a generic secure‑multiparty sum, but off‑the‑shelf protocols ...

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34 reactions | A few days ago we launched two short courses on federated learning! Have you checked them out yet? In these courses, you’ll go from exploring the components of federated learning systems to training LLMs with your own data in a federated way. This two-part course is self-contained. If you already know what federated learning is, you can start directly with part two! Learn more and enroll today: https://hubs.la/Q02JjnYR0 | DeepLearning.AI | Facebook

34 reactions | A few days ago we launched two short courses on federated learning! Have you checked them out yet? In these courses, you’ll go from exploring the components of federated learning systems to training LLMs with your own data in a federated way. This two-part course is self-contained. If you already know what federated learning is, you can start directly with part two! Learn more and enroll today: https://hubs.la/Q02JjnYR0 | DeepLearning.AI | Facebook

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