7 citations · 7 across the 1 of their papers we have counts for
3 papers
Vectorized Secure Evaluation of Decision Forests
Raghav Malik, Vidush Singhal, Benjamin Gottfried +1
As the demand for machine learning-based inference increases in tandem with concerns about privacy, there is a growing recognition of the need for secure machine learning, in which…
Quantum Computing Methods for Supervised Learning
Viraj Kulkarni, Milind Kulkarni, Aniruddha Pant
The last two decades have seen an explosive growth in the theory and practice of both quantum computing and machine learning. Modern machine learning systems process huge volumes o…
Survey of Personalization Techniques for Federated Learning
Viraj Kulkarni, Milind Kulkarni, Aniruddha Pant
Federated learning enables machine learning models to learn from private decentralized data without compromising privacy. The standard formulation of federated learning produces on…