Ming Jiang

FedPriv: Personalized Differential Privacy in Federated Learning for Heterogeneous Data

With the widespread adoption of interactive, mobile, and wearable technologies, an increasing amount of privacy-sensitive and statistically heterogeneous sensor data is being continuously generated by ubiquitous user devices. Federated learning (FL) enables multiple parties to jointly train a machine-learning model whi...