research
∙
07/30/2020
Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies
The rapid rise of IoT and Big Data has facilitated copious data driven a...
share
research
∙
05/05/2020
Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning
Machine learning algorithms operating on mobile networks can be characte...
research
∙
01/10/2019
The Capacity Achieving Distribution for the Amplitude Constrained Additive Gaussian Channel: An Upper Bound on the Number of Mass Points
This paper studies an n-dimensional additive Gaussian noise channel with...
research
∙
01/10/2019
Capacity Achieving Distribution for the Amplitude Constrained Additive Gaussian Channel: An Upper Bound on the Number of Mass Points
This paper studies an n-dimensional additive Gaussian noise channel with...
research
∙
01/02/2018