1 publication

• Published Ahead of print Subscription Review Article

  Enhancing Data Security and Privacy in Machine Learning Using Federated

  By Krishna Kant Jha, Aayush Bisht, Arun Kumar Rawat, Ajay Vishwakarma, Devesh Tiwari

  Abstract: Federated learning is a way of training machine learning models. It does this across devices or organizations without putting all the raw data in one place. This helps to keep data secure in modern artificial intelligence systems. This paper looks at how federated learning helps to keep data from being seen reduces the chance of something going wrong and lets people keep control over information. This makes the whole security …

  Published in Journal Of Network security Read article →