research
∙
07/05/2023
A Dataset of Inertial Measurement Units for Handwritten English Alphabets
This paper presents an end-to-end methodology for collecting datasets to...
share
research
∙
06/07/2023
Resource Aware Clustering for Tackling the Heterogeneity of Participants in Federated Learning
Federated Learning is a training framework that enables multiple partici...
research
∙
09/30/2022
Designing and Training of Lightweight Neural Networks on Edge Devices using Early Halting in Knowledge Distillation
Automated feature extraction capability and significant performance of D...
research
∙
09/03/2022
Suppressing Noise from Built Environment Datasets to Reduce Communication Rounds for Convergence of Federated Learning
Smart sensing provides an easier and convenient data-driven mechanism fo...
research
∙
09/03/2022
FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Buildings
With the enhancement of people's living standards and rapid growth of co...
research
∙
10/05/2020
A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions
Deep Neural Network (DNN) has gained unprecedented performance due to it...
research
∙
05/06/2020
