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Environment · SpainIn an increasingly complex digital environment threatened by cyberattacks, companies face the enormous challenge of protecting their data and systems without compromising privacy or operational efficiency. Traditional cybersecurity solutions, which rely on centralized data analysis, are beginning to show limitations in the face of more sophisticated threats, stricter regulations, and a growingly distributed technological ecosystem.In this contex…See the Story
Uso Clave Del Aprendizaje Federado en Aseguradoras

Artificial Intelligence · BilbaoIn an era where privacy matters more than ever, protecting data without sacrificing the power of artificial intelligence has become a top priority. To tackle this challenge, several privacy-preserving AI techniques have emerged. Among them, Federated Learning and Homomorphic Encryption stand out as two of the most prominent.Both enable training models without direct access to raw data. However, their approaches, technological maturity, and real-…Read Article
Federated Learning vs Homomorphic Encryption: Why Sherpa.ai’s Approach Makes the Difference

EnvironmentIn an increasingly complex digital environment threatened by cyberattacks, companies face the enormous challenge of protecting their data and systems without compromising privacy or operational efficiency. Traditional cybersecurity solutions, which rely on centralized data analysis, are beginning to show limitations in the face of more sophisticated threats, stricter regulations, and a growingly distributed technological ecosystem.In this contex…Read Article
Federated Learning Can Transform Enterprise Cybersecurity
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