Federated Learning (FL) is rapidly transforming the landscape of artificial intelligence by offering a decentralized method of training machine learning models. Unlike traditional centralized systems that require transferring data to a single server, FL allows models to be trained directly on edge devices like smartphones, wearables, or IoT devices. This approach preserves data privacy and reduces the risks associated with data breaches—an increasingly vital concern in the modern digital world.
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