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* **Federated Learning:** Federated learning is a distributed approach to AI that allows models to be trained on decentralized data sources without sharing the data itself. This is particularly useful in situations where data privacy is a concern, such as healthcare and finance. Federated learning enables organizations to collaborate on AI projects without compromising the privacy of their data.
