When is federated learning actually worth it versus centralizing the data?

Federated learning keeps data on-device, but it costs you accuracy, debuggability, and engineering complexity. The signal is naming when those costs are justified and when a simpler centralized pipeline with DP wins. Here is the answer.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.