Local Differential Privacy

Local Differential Privacy (LDP) is a method to protect individual data privacy when collecting information. Each person adds a small, controlled amount of randomness to their data before sharing it, making it difficult to identify any single individual's details. This ensures the data collector can analyze overall trends accurately without knowing specific personal information. Think of it like mixing a little noise into your response—your privacy is preserved, while still providing useful insights for analysis. LDP is widely used in applications like personalized services and data collection to keep user data secure.