Which ML technique ensures data compliance and privacy when training AI models on AWS?

The correct answer is C. Federated learning. Federated learning lets you train a global model across multiple data holders (for example, different AWS accounts or edge devices) without moving raw data to a central location. Each participant trains locally on its own private dataset and only shares model updates…

Submitted by skyler.x· Mar 30, 2026Data Governance

Question

Options

AReinforcement learning
BTransfer learning
CFederated learning
DUnsupervised learning

How the community answered

(50 responses)

A
4% (2)
C
94% (47)
D
2% (1)

Explanation

Federated learning lets you train a global model across multiple data holders (for example, different AWS accounts or edge devices) without moving raw data to a central location. Each participant trains locally on its own private dataset and only shares model updates, preserving data privacy and ensuring compliance.

Topics

#Federated learning#AI privacy#Data compliance

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