#privacy

機械支援の翻訳下書き (Japanese) for "Federated AI": An approach to AI training and inference where models are distributed across multiple nodes or organizations without centralizing raw data. Each node trains on its local data and shares only model updates, preserving privacy while benefiting from collective learning.

“例文の下書き: The hospital network used federated AI to improve diagnosis models without sharing patient records.”