111 citations · 186 across the 9 of their papers we have counts for
9 papers
A Dataset of Inertial Measurement Units for Handwritten English Alphabets
Hari Prabhat Gupta, Rahul Mishra
This paper presents an end-to-end methodology for collecting datasets to recognize handwritten English alphabets by utilizing Inertial Measurement Units (IMUs) and leveraging the d…
Resource Aware Clustering for Tackling the Heterogeneity of Participants in Federated Learning
Rahul Mishra, Hari Prabhat Gupta, Garvit Banga
Federated Learning is a training framework that enables multiple participants to collaboratively train a shared model while preserving data privacy and minimizing communication ove…
Quantum Computing Toolkit From Nuts and Bolts to Sack of Tools
Himanshu Sahu, Hari Prabhat Gupta
Quantum computing has the potential to provide exponential performance benefits in processing over classical computing. It utilizes quantum mechanics phenomena (such as superpositi…
Designing and Training of Lightweight Neural Networks on Edge Devices using Early Halting in Knowledge Distillation
Rahul Mishra, Hari Prabhat Gupta
Automated feature extraction capability and significant performance of Deep Neural Networks (DNN) make them suitable for Internet of Things (IoT) applications. However, deploying D…
Suppressing Noise from Built Environment Datasets to Reduce Communication Rounds for Convergence of Federated Learning
Rahul Mishra, Hari Prabhat Gupta, Tanima Dutta +1
Smart sensing provides an easier and convenient data-driven mechanism for monitoring and control in the built environment. Data generated in the built environment are privacy sensi…
FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Buildings
Ashish Gupta, Hari Prabhat Gupta, Sajal K. Das
With the enhancement of people's living standards and rapid growth of communication technologies, residential environments are becoming smart and well-connected, increasing overall…
A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions
Rahul Mishra, Hari Prabhat Gupta, Tanima Dutta
Deep Neural Network (DNN) has gained unprecedented performance due to its automated feature extraction capability. This high order performance leads to significant incorporation of…
Analysis, Modeling, and Representation of COVID-19 Spread: A Case Study on India
Rahul Mishra, Hari Prabhat Gupta, Tanima Dutta
Coronavirus outbreak is one of the most challenging pandemics for the entire human population of the planet Earth. Techniques such as the isolation of infected persons and maintain…
Approaches and Applications of Early Classification of Time Series: A Review
Ashish Gupta, Hari Prabhat Gupta, Bhaskar Biswas +1
Early classification of time series has been extensively studied for minimizing class prediction delay in time-sensitive applications such as healthcare and finance. A primary task…