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    Federated Learning

    Federated learning enables AI training across distributed data sources while preserving privacy and data sovereignty.

    • Privacy-preserving AI is becoming essential for healthcare, finance, and other regulated industries with sensitive data.
    • Cross-organization collaboration on AI is enabled without requiring data centralization or sharing.
    • Edge federated learning is enabling model improvement from on-device data while keeping personal information local.

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    Owkin

    AI for medical research and clinical trials

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