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Confidential Federated Understanding. Federated Studying has long been proposed instead to centralized/distributed training for scenarios where by teaching data can't be aggregated, for example, as a result of data residency prerequisites or safety considerations. When coupled with federated Discovering, confidential computing can offer more robust

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