Federated Learning: Training AI Models Without Compromising Data Privacy
As organizations accelerate their adoption of artificial intelligence, data has become the most valuable asset driving innovation. However, with increasing concerns around data privacy, regulatory compliance, and cybersecurity, enterprises face a significant challenge: how to leverage sensitive data without exposing it. Traditional machine learning approaches require centralizing data into a...
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