data security

Homomorphic encryption: perform computations on encrypted data

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Homomorphic encryption is revolutionizing the way sensitive data is processed. By enabling calculations to be performed directly on encrypted data, this technology offers a new dimension to cybersecurity, addressing the growing needs for privacy and secure processing in an increasingly digitized world. In light of concerns regarding the protection of confidential information, particularly in cloud … Read more

Federated learning: training AI without centralizing data

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In a context where the massive collection of personal data raises numerous concerns, the rise of artificial intelligence encounters limits imposed by the need to protect privacy. Federated learning changes the game by proposing a distributed model that respects data confidentiality while allowing collaborative and effective AI training. This revolutionary approach rethinks the classical paradigm … Read more