Techniques of securing AI with Federated Learning (FL)

10 Pages

This paper emphasizes the importance of cybersecurity and governance in AI adoption. HCLTech discusses risks such as data poisoning, model theft, and algorithmic bias. It presents frameworks for secure AI pipelines, ethical AI governance, and compliance with global standards. The whitepaper advocates embedding security and transparency across AI lifecycles, ensuring trust, accountability, and resilience in intelligent systems.

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Techniques of securing AI with Federated Learning (FL)

Techniques of securing AI with Federated Learning (FL)

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