Privacy Sandbox Playground

Explore and experiment with privacy-preserving technologies through interactive simulations and real-world examples.

Resources

Federated Learning

Train ML models on distributed datasets without centralizing data

Interactive Simulation


// Federated Learning Example
const model = await FederatedModel.initialize({
  aggregation: 'secure',
  minClients: 50,
  rounds: 10
});

model.onRound(async (clientData) => {
  const localUpdate = await trainLocal(clientData);
  return securelyAggregate(localUpdate);
});

Privacy Score

Implementation Guide

  1. 1

    Configure Parameters

    Set privacy thresholds and data scope

  2. 2

    Initialize SDK

    Set up development environment

  3. 3

    Test Implementation

    Validate privacy guarantees

Privacy Impact Analysis

Data Protection

Enhanced

Performance Impact

Minimal

Compliance Status

Compliant

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