Privacy and Trust Redefined in Federated Machine Learning
A common privacy issue in traditional machine learning is that data needs turbo air m3f24-1-n to be disclosed for the training procedures.In situations with highly sensitive data such as healthcare records, accessing this information is challenging and often prohibited.Luckily, privacy-preserving technologies have been developed to overcome this hu