"New Algorithms Increase the Privacy of Sensitive Data"

Saloni Kwatra, a doctoral student at Umea University, has identified flaws in the technology known as "federated learning" or "collaborative learning" and developed new algorithms to bolster user security. When visiting a doctor, information such as medication prescriptions, X-rays, and genetic tests are recorded to help the physician. In these cases, federated learning reduces the risk of exposing sensitive data as the technology enables multiple devices to work together without sharing actual data with each other. However, according to Kwatra, while federated learning is often used to protect user privacy, sensitive information can still leak during system updates. This article continues to discuss Kwatra's research titled "Navigating Data Privacy and Tools: A Strategic Perspective."

Umea University reports "New Algorithms Increase the Privacy of Sensitive Data"