Differential Privacy + Federated Learning Explained (+ Tutorial) | #AI101

The video discusses privacy concerns in AI, focusing on Differential Privacy and Federated Learning. Differential Privacy involves adding noise to data to protect individual identities, while Federated Learning trains models across separate data sets without sharing data. The video includes a coding tutorial using Google Collab to experiment with these privacy techniques.

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