Research Interests
My research interests evolve around differentially private and distributed optimization for machine learning applications, including:
- differentially private empirical risk minimization ;
- decentralized learning of personalized models ;
- imputation of missing data ;
- inference attacks on machine learning models ;
- robust statistics ;
- fair machine learning.