As technology continues to advance, the interaction between humans and machines is becoming increasingly complex. With the rise of artificial intelligence (AI), the potential for human-machine interaction is greater than ever before. However, concerns about privacy and data security have also increased. This is where privacy-preserving machine learning comes in.
Privacy-preserving machine learning is a technique that allows data to be analyzed without compromising the privacy of the individuals involved. This is achieved by using algorithms that can analyze data without actually seeing it. Instead, the algorithms work on encrypted data, ensuring that the privacy of the individuals involved is protected.