Originally published at: https://developer.nvidia.com/blog/applying-federated-learning-to-traditional-machine-learning-methods/
In the era of big data and distributed computing, traditional approaches to machine learning (ML) face a significant challenge: how to train models collaboratively when data is decentralized across multiple devices or silos. This is where federated learning comes into play, offering a promising solution that decouples model training from direct access to raw training…