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</html><description>Description: Joint Security in the context of Federated Learning refers to the measures implemented to protect both data and learning models in an environment where multiple entities collaborate without directly sharing their data. This approach allows artificial intelligence models to be trained using distributed data, ensuring that sensitive information remains in its original location. The [&hellip;]</description></oembed>
