Federated Learning for Privacy-Preserving Machine Learning Development
AI and ML systems have become one of the go-to solutions in many industries, including healthcare, cybersecurity, finance, and law enforcement. But with this development comes the cost of personal privacy. While AI models are becoming more advanced and data gathering is becoming more widespread, data security worries have grown stronger. ML models require large […]