92 citations · 114 across the 4 of their papers we have counts for
4 papers
FedDPC : Handling Data Heterogeneity and Partial Client Participation in Federated Learning
Mrinmay Sen, Subhrajit Nag
Data heterogeneity is a significant challenge in modern federated learning (FL) as it creates variance in local model updates, causing the aggregated global model to shift away fro…
ACLNet: An Attention and Clustering-based Cloud Segmentation Network
Dhruv Makwana, Subhrajit Nag, Onkar Susladkar +4
We propose a novel deep learning model named ACLNet, for cloud segmentation from ground images. ACLNet uses both deep neural network and machine learning (ML) algorithm to extract…
WaferSegClassNet -- A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects
Subhrajit Nag, Dhruv Makwana, Sai Chandra Teja R +2
As the integration density and design intricacy of semiconductor wafers increase, the magnitude and complexity of defects in them are also on the rise. Since the manual inspection…
E2GC: Energy-efficient Group Convolution in Deep Neural Networks
Nandan Kumar Jha, Rajat Saini, Subhrajit Nag +1
The number of groups () in group convolution (GConv) is selected to boost the predictive performance of deep neural networks (DNNs) in a compute and parameter efficient manner.…