Instruction: Provide an explanation of federated learning and discuss its advantages over traditional machine learning approaches.
Context: This question tests the candidate's knowledge of distributed machine learning techniques and their benefits, especially in terms of privacy and data security.
Official answer available
Preview the opening of the answer, then unlock the full walkthrough.
The way I'd explain it in an interview is this: Federated learning is a training setup where model updates are learned locally on devices or institutions and then aggregated, rather than moving all raw data into one centralized training store. The main attraction is that the data stays...