His area of research involves privacy aware machine learning with a special interest in healthcare technologies and quantified-self data. He works on designing privacy-preserving and equitable data driven inference and training architectures, primarily employing Secure Multi-Party Computation protocols, Homomorphic Encryption & Differential Privacy.
Machine Design Sharma Agarwal.pdf
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