I write about privacy challenges in emerging technologies and how we can design responsible systems to protect users.
Explores the privacy concerns associated with menstrual health apps and discusses how federated learning can offer solutions.
Analyzes the privacy implications of connected vehicles and the potential misuse of personal data collected by car manufacturers.
Discusses the concept of Non-IID data, its challenges in machine learning, and how data heterogeneity affects model training.
Presents insights from a discussion with Dr. Salman Toor on the adoption of federated learning and its impact on data privacy.
Examines how data silos hinder AI development and the importance of data accessibility for innovation.
