M. Omair Shafiq

A Survey and Recommendations for Distributed, Parallel, Single Pass, Incremental Bayesian Classification Based on MapReduce for Big Data

2017

In the emerging digital age, massive production of data is occurred actively or passively by collecting data from users and environment via applications, sensor devices and so on. That makes it important and crucial to …

DiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated Learning

2021 · arXiv (Cornell University)

The need for robust, secure and private machine learning is an important goal for realizing the full potential of the Internet of Things (IoT). Federated learning has proven to help protect against privacy violations and …