Search Results for author: Aman Priyanshu

Found 6 papers, 1 papers with code

Efficient Hyperparameter Optimization for Differentially Private Deep Learning

1 code implementation9 Aug 2021 Aman Priyanshu, Rakshit Naidu, FatemehSadat Mireshghallah, Mohammad Malekzadeh

Tuning the hyperparameters in the differentially private stochastic gradient descent (DPSGD) is a fundamental challenge.

Hyperparameter Optimization

When Differential Privacy Meets Interpretability: A Case Study

no code implementations24 Jun 2021 Rakshit Naidu, Aman Priyanshu, Aadith Kumar, Sasikanth Kotti, Haofan Wang, FatemehSadat Mireshghallah

Given the increase in the use of personal data for training Deep Neural Networks (DNNs) in tasks such as medical imaging and diagnosis, differentially private training of DNNs is surging in importance and there is a large body of work focusing on providing better privacy-utility trade-off.

Continual Distributed Learning for Crisis Management

no code implementations26 Apr 2021 Aman Priyanshu, Mudit Sinha, Shreyans Mehta

Social media platforms such as Twitter, Facebook etc can be utilised as an important source of information during disaster events.

Continual Learning Disaster Response +2

FedPandemic: A Cross-Device Federated Learning Approach Towards Elementary Prognosis of Diseases During a Pandemic

no code implementations5 Apr 2021 Aman Priyanshu, Rakshit Naidu

The amount of data, manpower and capital required to understand, evaluate and agree on a group of symptoms for the elementary prognosis of pandemic diseases is enormous.

Federated Learning

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